awesome-devops-mcp-servers

# Awesome DevOps MCP Servers [](https://awesome.re) A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities. ## What is MCP? [MCP](https://modelcontextprotocol.io/) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services. ## Related Resources - [awesome](https://github.com/sindresorhus/awesome#readme) - Awesome lists about all kinds of interesting topics. - [awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers/) - A comprehensive list of all MCP servers. - [awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients/) - A list of MCP clients. ## Legend - 🎖️ – official implementation - programming language - 🐍 – Python codebase - 📇 – TypeScript (or JavaScript) codebase - 🏎️ – Go codebase - 🦀 – Rust codebase - #️⃣ - C# Codebase - ☕ - Java codebase - scope - ☁️ - Cloud Service - 🏠 - Local Service - 📟 - Embedded Systems - operating system - 🍎 – For macOS - 🪟 – For Windows - 🐧 - For Linux ## Server Implementations ## Cloud Infrastructure ### 🏗️ Infrastructure as Code Tools for managing infrastructure through code, including Terraform, Pulumi, and other IaC platforms. - [dulltz/mcp-server-hcp-terraform](https://github.com/dulltz/mcp-server-hcp-terraform) 🐍 ☁️ - MCP server for working with HashiCorp Cloud Platform (HCP) Terraform, enabling AI assistants to interact with Terraform Cloud resources. - [guilhermeyoshida/mcp-terraform-assistant](https://github.com/guilhermeyoshida/mcp-terraform-assistant) 🐍 🏠 - An MCP server for managing infrastructure as code using Terraform. - [jashkahar/Terraform-MCP-Server](https://github.com/jashkahar/Terraform-MCP-Server) 🐍 ☁️ - This project provides an MCP server that exposes Terraform infrastructure-as-code operations through natural language. - [nwiizo/tfmcp](https://github.com/nwiizo/tfmcp) 🦀 🏠 - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state. - [pulumi/mcp-server](https://github.com/pulumi/mcp-server) 🎖️ 📇 🏠 - MCP server for interacting with Pulumi using the Pulumi Automation API and Pulumi Cloud API. Enables MCP clients to perform Pulumi operations like retrieving package information, previewing changes, deploying updates, and retrieving stack outputs programmatically. - [severity1/terraform-cloud-mcp](https://github.com/severity1/terraform-cloud-mcp) 🐍 ☁️ - A Model Context Protocol server that integrates AI assistants with the Terraform Cloud API, allowing you to manage your infrastructure. - [thrash888/terraform-mcp-server](https://github.com/thrash888/terraform-mcp-server) 📇 ☁️ - Terraform Registry MCP Server for interacting with Terraform registries. - [westonplatter/mcp-terraform-python](https://github.com/westonplatter/mcp-terraform-python) 🐍 🏠 - MCP server to run terraform operations locally. - [stakpak/mcp](https://github.com/stakpak/mcp) 🦀 - MCP Server for interacting, editing and generating code for Terraform, Kubernetes, GithubActions and Dockerfile. ### 🐳 Container Orchestration Tools for managing containers, Kubernetes clusters, and related orchestration platforms. - [rohitg00/kubectl-mcp-server](https://github.com/rohitg00/kubectl-mcp-server) 🐍 ☁️/🏠 - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language. - [alexei-led/k8s-mcp-server](https://github.com/alexei-led/k8s-mcp-server) 🐍 🏠 - A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support. - [Flux159/mcp-server-kubernetes](https://github.com/Flux159/mcp-server-kubernetes) 📇 ☁️/🏠 - Typescript implementation of Kubernetes cluster operations for pods, deployments, services. - [manusa/kubernetes-mcp-server](https://github.com/manusa/kubernetes-mcp-server) 🏎️ 🏠 - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster. - [portainer/portainer-mcp](https://github.com/portainer/portainer-mcp) 🏎️ ☁️/🏠 - A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities. - [Higangssh/homebutler](https://github.com/Higangssh/homebutler) 🏎️ 🏠 - All-in-one homelab management MCP server for Docker container monitoring, volume backup/restore (including compose and env files), Wake-on-LAN, network scanning, and multi-server management via SSH. Single Go binary with zero dependencies. - [rohitg00/kubectl-mcp-server](https://github.com/rohitg00/kubectl-mcp-server) 🐍 ☁️/🏠 - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language. - [rrmistry/tilt-mcp](https://github.com/rrmistry/tilt-mcp) 🐍 🏠 🍎 🪟 🐧 - Model Context Protocol server that integrates with Tilt to provide programmatic access to Tilt resources, logs, and management operations for Kubernetes development environments. - [kubestellar/console (kc-agent)](https://github.com/kubestellar/console) ([docs](https://docs.kubestellar.io/release-0.27.0/direct/console/)) 🏎️ 🏠 - MCP server bridging AI assistants to Kubernetes clusters via kubeconfig. Supports multi-cluster operations, natural language kubectl commands, and integrates with 20+ CNCF tools. CNCF Sandbox project. - [strowk/mcp-k8s-go](https://github.com/strowk/mcp-k8s-go) 🏎️ ☁️/🏠 - Kubernetes cluster operations through MCP. - [weibaohui/k8m](https://github.com/weibaohui/k8m) 🏎️ ☁️/🏠 - Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources. - [weibaohui/kom](https://github.com/weibaohui/kom) 🏎️ ☁️/🏠 - Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources. - [wenhuwang/mcp-k8s-eye](https://github.com/wenhuwang/mcp-k8s-eye) 🏎️ ☁️/🏠 - MCP Server for kubernetes management, and analyze your cluster, application health. - [kocierik/mcp-nomad](https://github.com/kocierik/mcp-nomad) 🏎️ ☁️/🏠 - MCP Server for nomad management, and analyze your cluster, application health, logs and ACL. - [aadarshjain/kubectl-mcp-server](https://github.com/aadarshjain/kubectl-mcp-server) 🐍 🏠 - A STDIO based MCP server for Kubernetes that interacts seamlessly with your local clusters (~/.kube/config) using `kubectl` CLI commands. Uses read-only operations by default to prevent accidental modifications/deletion of K8s resources. - [rog0x/mcp-docker-tools](https://github.com/rog0x/mcp-docker-tools) 📇 🏠 - Container management, image analysis, Dockerfile generation, compose validation, and resource monitoring. ### ☁️ Cloud Providers #### AWS - [awslabs/mcp](https://github.com/awslabs/mcp) 🎖️ 🐍 ☁️ - Official AWS MCP server for interacting with AWS services using the Model Context Protocol. Enables AI assistants to manage AWS resources through natural language and programmatic interfaces. - [alexei-led/aws-mcp-server](https://github.com/alexei-led/aws-mcp-server) 🐍 ☁️ - A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support. #### Azure - [aaronsb/ado-mcp](https://github.com/aaronsb/ado-mcp) 📇 ☁️ - Azure DevOps MCP Server for integrating AI assistants with Azure DevOps services. - [erikhoward/adls-mcp-server](https://github.com/erikhoward/adls-mcp-server) 🐍 ☁️/🏠 - MCP Server for Azure Data Lake Storage. It can perform manage containers, read/write/upload/download operations on container files and manage file metadata. - [hardik-id/azure-resource-graph-mcp-server](https://github.com/hardik-id/azure-resource-graph-mcp-server) 📇 ☁️/🏠 - A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure. - [jdubois/azure-cli-mcp](https://github.com/jdubois/azure-cli-mcp) 🐍 ☁️ - A wrapper around the Azure CLI command line that allows you to talk directly to Azure. - [stefanskiasan/azure-devops-mcp-server](https://github.com/stefanskiasan/azure-devops-mcp-server) 📇 ☁️ - MCP Server for Cline to Access Azure DevOps. - [Tiberriver256/mcp-server-azure-devops](https://github.com/Tiberriver256/mcp-server-azure-devops) 📇 ☁️ - Azure DevOps integration for repository management, work items, and pipelines. - [Vortiago/mcp-azure-devops](https://github.com/Vortiago/mcp-azure-devops) 📇 ☁️ - A Model Context Protocol server enabling AI assistants to interact with Azure DevOps services via Python SDK. #### Alibaba Cloud - [aliyun/alibaba-cloud-ops-mcp-server](https://github.com/aliyun/alibaba-cloud-ops-mcp-server) 🎖️ 🐍 ☁️ - A MCP server that enables AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS and widely used cloud products. #### GCP - [eniayomi/gcp-mcp](https://github.com/eniayomi/gcp-mcp) 📇 ☁️ - A Model Context Protocol server for Google Cloud Platform, enabling AI assistants to interact with GCP resources. #### Other Cloud Platforms - [bright8192/esxi-mcp-server](https://github.com/bright8192/esxi-mcp-server) 🐍 ☁️ - A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management. - [cloudflare/mcp-server-cloudflare](https://github.com/cloudflare/mcp-server-cloudflare) 🎖️ 📇 ☁️ - Integration with Cloudflare services including Workers, KV, R2, and D1. - [thunderboltsid/mcp-nutanix](https://github.com/thunderboltsid/mcp-nutanix) 🏎️ 🏠/☁️ - Go-based MCP Server for interfacing with Nutanix Prism Central resources. - [arnstarn/mcp-server-spotinst](https://github.com/arnstarn/mcp-server-spotinst) 🐍 ☁️ - MCP server for Spot.io (Spotinst) API with 23 tools for managing Ocean clusters, VNGs, Elastigroups, costs, right-sizing, and logs across AWS and Azure with multi-account support. - [Qovery/qovery-mcp-server](https://mcp.qovery.com/mcp) 🏎️ ☁️ - Enterprise Kubernetes management via MCP. Deploy and manage applications, databases, Helm charts, and Terraform modules on AWS EKS, GCP GKE, Azure AKS, and Scaleway. Query environments, troubleshoot deployments, monitor infrastructure. [Docs](https://www.qovery.com/docs/copilot/mcp-server). Also has an [AI Agent Skill](https://github.com/Qovery/qovery-skills) for deploying from Claude Code, Cursor, and 30+ tools. - [Chain.Love MCP](https://github.com/Chain-Love/chain.love-mcp) 📇 ☁️ - Hosted MCP gateway for discovering and comparing Web3 infrastructure services such as RPCs, indexing, oracles, storage, compute, and developer tools. ### 🗄️ Database Management Interact with databases, execute queries, inspect schemas, and manage data. - [haymon-ai/database](https://github.com/haymon-ai/database) 🦀 🏠 - Single-binary MCP server for MySQL, MariaDB, PostgreSQL & SQLite with zero runtime dependencies. ### 🖥️ Command Line Run commands, capture output and otherwise interact with shells and command line tools. - [ferrislucas/iterm-mcp](https://github.com/ferrislucas/iterm-mcp) 🖥️ 🛠️ 💬 - A Model Context Protocol server that provides access to iTerm. You can run commands and ask questions about what you see in the iTerm terminal. - [g0t4/mcp-server-commands](https://github.com/g0t4/mcp-server-commands) 📇 🏠 - Run any command with `run_command` and `run_script` tools. - [maxim-saplin/mcp_safe_local_python_executor](https://github.com/maxim-saplin/mcp_safe_local_python_executor) - Safe Python interpreter based on HF Smolagents `LocalPythonExecutor` - [MladenSU/cli-mcp-server](https://github.com/MladenSU/cli-mcp-server) 🐍 🏠 - Command line interface with secure execution and customizable security policies - [muchiny/mcp-ssh-bridge](https://github.com/muchiny/mcp-ssh-bridge) 🦀 🏠 ☁️ 🐧 🪟 - Secure SSH bridge for AI-powered remote server management. 338 tools across 74 groups for Linux, Windows, Docker, Kubernetes, and more. 13 protocol adapters (SSH, WinRM, Telnet, K8s Exec, AWS SSM, Azure, GCP), server-side output filtering, and 6,300+ tests. - [claw-army/claude-node](https://github.com/claw-army/claude-node) 🐍 - Python subprocess bridge for Claude Code CLI, giving Python code direct access to Claude Code native capabilities via stream-json. - [OthmaneBlial/term_mcp_deepseek](https://github.com/OthmaneBlial/term_mcp_deepseek) 🐍 🏠 - A DeepSeek MCP-like Server for Terminal - [tumf/mcp-shell-server](https://github.com/tumf/mcp-shell-server) - A secure shell command execution server implementing the Model Context Protocol (MCP) - [automateyournetwork/pyATS_MCP](https://github.com/automateyournetwork/pyATS_MCP) - Cisco pyATS server enabling structured, model-driven interaction with network devices. - [wonderwhy-er/DesktopCommanderMCP](https://github.com/wonderwhy-er/DesktopCommanderMCP) 📇 🏠 🍎 🪟 🐧 - A swiss-army-knife that can manage/execute programs and read/write/search/edit code and text files. - [YawLabs/tailscale-mcp](https://github.com/YawLabs/tailscale-mcp) 📇 ☁️ — Manage Tailscale tailnets with 52 tools for devices, ACL policies, DNS, auth keys, users, webhooks, and audit logs. - [nylas/cli](https://github.com/nylas/cli) 🏎️ ☁️ 🍎 🪟 🐧 - Email, calendar, contacts, webhook, timezone, and OTP command-line tool with built-in MCP server support. ### 🔄 Version Control Interact with Git repositories and version control platforms. Enables repository management, code analysis, pull request handling, issue tracking, and other version control operations through standardized APIs. - [adhikasp/mcp-git-ingest](https://github.com/adhikasp/mcp-git-ingest) 🐍 🏠 - Read and analyze GitHub repositories with your LLM - [ddukbg/github-enterprise-mcp](https://github.com/ddukbg/github-enterprise-mcp) 📇 ☁️ 🏠 - MCP server for GitHub Enterprise API integration - [gitea/gitea-mcp](https://gitea.com/gitea/gitea-mcp) 🎖️ 🏎️ ☁️ 🏠 🍎 🪟 🐧 - Interactive with Gitea instances with MCP. - [github/github-mcp-server](https://github.com/github/github-mcp-server) 📇 ☁️ - Official GitHub server for integration with repository management, PRs, issues, and more. - [kopfrechner/gitlab-mr-mcp](https://github.com/kopfrechner/gitlab-mr-mcp) 📇 ☁️ - Interact seamlessly with issues and merge requests of your GitLab projects. - [modelcontextprotocol/server-git](https://github.com/modelcontextprotocol/servers/tree/main/server-git) 🐍 🏠 - Direct Git repository operations including reading, searching, and analyzing local repositories - [modelcontextprotocol/server-gitlab](https://github.com/modelcontextprotocol/servers/tree/main/server-gitlab) 📇 ☁️ 🏠 - GitLab platform integration for project management and CI/CD operations - [oschina/mcp-gitee](https://github.com/oschina/gitee) 🏎️ ☁️ 🏠 - Gitee API integration, repository, issue, and pull request management, and more. - [Tiberriver256/mcp-server-azure-devops](https://github.com/Tiberriver256/mcp-server-azure-devops) 📇 ☁️ - Azure DevOps integration for repository management, work items, and pipelines. - [zach-snell/bbkt](https://github.com/zach-snell/bbkt) 🏎️ ☁️ 🍎 🪟 🐧 - Bitbucket Cloud CLI and MCP server. Manages workspaces, repos, PRs, pipelines, issues, and source code. Token introspection hides tools the API key can't use. - [rog0x/mcp-git-tools](https://github.com/rog0x/mcp-git-tools) 📇 🏠 - Git log analysis, blame, diff viewer, branch management, and repository statistics. ### 🔒 Security MCP servers for security operations, vulnerability scanning, and threat detection. - [LaurieWired/GhidraMCP](https://github.com/LaurieWired/GhidraMCP) ☕ 🏠 - A Model Context Protocol server for Ghidra that enables LLMs to autonomously reverse engineer applications. Provides tools for decompiling binaries, renaming methods and data, and listing methods, classes, imports, and exports. - [13bm/GhidraMCP](https://github.com/13bm/GhidraMCP) 🐍 ☕ 🏠 - MCP server for integrating Ghidra with AI assistants. This plugin enables binary analysis, providing tools for function inspection, decompilation, memory exploration, and import/export analysis via the Model Context Protocol. - [BurtTheCoder/mcp-shodan](https://github.com/BurtTheCoder/mcp-shodan) 📇 🪟 ☁️ - MCP server for querying the Shodan API and Shodan CVEDB. This server provides tools for IP lookups, device searches, DNS lookups, vulnerability queries, CPE lookups, and more. - [BurtTheCoder/mcp-virustotal](https://github.com/BurtTheCoder/mcp-virustotal) 📇 🪟 ☁️ - MCP server for querying the VirusTotal API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports. - [bottobot/defense-mcp-server](https://github.com/bottobot/defense-mcp-server) 📇 🏠 🐧 - 31 defensive security tools with 250+ actions for Linux system hardening, compliance auditing, firewall management, vulnerability scanning, and incident response. Dry-run by default. - [cordum-io/cordum](https://github.com/cordum-io/cordum) 🏎️ 🏠 ☁️ - Safety-first agent control plane with pre-dispatch policy evaluation (deny/escalate/allow), output scanning (PII, secrets, injection), job scheduling, and full audit trail. Native MCP server with stdio and HTTP/SSE transport. - [fr0gger/MCP_Security](https://github.com/fr0gger/MCP_Security) 📇 ☁️ - MCP server for querying the ORKL API. This server provides tools for fetching threat reports, analyzing threat actors, and retrieving intelligence sources. - [wd041216-bit/ironclaw-agent-guard](https://github.com/wd041216-bit/ironclaw-agent-guard) 📇 🏠 ☁️ - Agent-runtime security guard with stdio and Streamable HTTP MCP servers. Exposes `security_scan` and `redact_text` for risky tool payload review, prompt-injection checks, secret redaction, and JSONL audit logging. - [girste/mcp-cybersec-watchdog](https://github.com/girste/mcp-cybersec-watchdog) 🐍 🏠 🐧 - Comprehensive security audit tool for Linux servers. Analyzes firewall, SSH hardening, threats, fail2ban, Docker, kernel hardening. Returns actionable recommendations with zero configuration. - [icoretech/warden-mcp](https://github.com/icoretech/warden-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - MCP server for Bitwarden and Vaultwarden vault management. Search, create, edit, and organize logins, notes, cards, identities, SSH keys, folders, collections, attachments, and Sends via the official `bw` CLI. - [qianniuspace/mcp-security-audit](https://github.com/qianniuspace/mcp-security-audit) 📇 ☁️ - A powerful MCP (Model Context Protocol) Server that audits npm package dependencies for security vulnerabilities. Built with remote npm registry integration for real-time security checks. - [semgrep/mcp](https://github.com/semgrep/mcp) 📇 ☁️ - Allow AI agents to scan code for security vulnerabilites using [Semgrep](https://semgrep.dev). - [slouchd/cyberchef-api-mcp-server](https://github.com/slouchd/cyberchef-api-mcp-server) 🐍 ☁️ - MCP server for interacting with the CyberChef server API which will allow an MCP client to utilise the CyberChef operations. - [rad-security/mcp-server](https://github.com/rad-security/mcp-server) 📇 ☁️ - MCP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more. - [securityfortech/secops-mcp](https://github.com/securityfortech/secops-mcp) 🐍 🏠 - All-in-one security testing toolbox that brings together popular open source tools through a single MCP interface. Connected to an AI agent, it enables tasks like pentesting, bug bounty hunting, threat hunting, and more. - [roadwy/cve-search_mcp](https://github.com/roadwy/cve-search_mcp) 🐍 🏠 - A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs. - [nickpending/mcp-recon](https://github.com/nickpending/mcp-recon) 🏎️ 🏠 - Conversational recon interface and MCP server powered by httpx and asnmap. Supports various reconnaissance levels for domain analysis, security header inspection, certificate analysis, and ASN lookup. - [operantlabs/operant-mcp](https://github.com/operantlabs/operant-mcp) 📇 ☁️ 🏠 - Security testing MCP server with 51 tools for penetration testing, network forensics, memory analysis, and vulnerability assessment. Install via `npx operant-mcp`. - [microsoft/agent-governance-toolkit](https://github.com/microsoft/agent-governance-toolkit) 🐍 🏠 - Kernel-level governance MCP server for AI agents. Provides deterministic policy enforcement, compliance checking (SOC2, GDPR, HIPAA), audit logging (SQLite-based), and human-in-the-loop approvals. Install via `pip install agent-os-kernel`. - [takleb3rry/zitadel-mcp](https://github.com/takleb3rry/zitadel-mcp) 📇 ☁️/🏠 - MCP server for Zitadel identity management — manage users, projects, OIDC apps, roles, and service accounts through natural language. Supports user lifecycle, RBAC, and OIDC configuration. - [luckyPipewrench/pipelock](https://github.com/luckyPipewrench/pipelock) 🏎️ 🏠 - Firewall for AI agents that wraps MCP servers with bidirectional scanning for credential leaks, prompt injection, and tool poisoning detection. Also provides an HTTP fetch proxy with a 9-layer scanner pipeline. - [elliotllliu/agent-shield](https://github.com/elliotllliu/agent-shield) 📇 🏠 - Pre-deployment security scanner for AI agent skills, MCP servers, and plugins. 30 detection rules with AST taint tracking, cross-file data flow analysis, and multi-language prompt injection detection (8 languages). CI/CD integration via GitHub Action. Zero install via npx, 100% offline. - [PolicyLayer/Intercept](https://github.com/PolicyLayer/Intercept) 📇 🏠 🍎 🪟 🐧 - Open-source MCP proxy that enforces YAML policies on every tool call. Rate limiting, spending caps, argument validation, and full audit logging at the transport layer. Works with any MCP server. - [Sentinel-Gate/Sentinelgate](https://github.com/Sentinel-Gate/Sentinelgate) 🏎️ 🏠 🍎 🪟 🐧 - Open-source MCP proxy for AI agent access control. Intercepts every tool call with CEL policies, RBAC, full audit trail, content scanning, and Admin UI. Single binary, zero dependencies. - [prompt-security/clawsec](https://github.com/prompt-security/clawsec) 🐍 ☁️ - Security audit platform for AI agent skills and MCP servers. Five-tier detection pipeline (core rules, dynamic rules, LLM analysis, Firecracker sandbox, LLM review), continuous rule evolution, and automated vulnerability reports. - [JoeyBrar/agentseal-mcp](https://github.com/JoeyBrar/agentseal-mcp) 📇 🏠 - Action logs for AI agents. Records every action in a SHA-256 hash chain, for verifiable audit trails. Install via `npx agentseal-mcp`. - [brainAI-bot/agentfolio-mcp-server](https://github.com/brainAI-bot/agentfolio-mcp-server) 📇 🏠 - Agent identity and trust-verification MCP server for AI-agent discovery and DevOps workflow governance. - [shadoprizm/cyberlens-mcp-server](https://github.com/shadoprizm/cyberlens-mcp-server) ☕ 🏠 🍎 🪟 🐧 - Security scanning MCP server for websites, GitHub repositories, and MCP/OpenClaw skills from AI assistants. - [aak204/MCP-Trust-Kit](https://github.com/aak204/MCP-Trust-Kit) 🐍 🏠 - Deterministic CI scanner and surface-risk scoring for MCP servers. - [artvepa80/Agents-Hefesto](https://github.com/artvepa80/Agents-Hefesto) 🐍 ☁️ 🏠 - Code quality and security review MCP server for AI-generated code, including semantic drift, complexity, and vulnerability analysis. - [arcjet/mcp](https://docs.arcjet.com/mcp-server) ☁️ - Runtime security platform for AI applications, including budget enforcement, prompt-injection protection, bot detection, and PII controls. - [sidclawhq/platform](https://github.com/sidclawhq/platform) 📇 🏠 - Governance proxy for MCP servers with identity, policy evaluation, human approval, and traceability for agent actions. - [Scottpedia0/access](https://github.com/Scottpedia0/access) 📇 🏠 🍎 🪟 🐧 - Self-hosted credential store, API proxy, and MCP server that lets agents access services through one controlled bearer token. - [ExposureGuard/haldir](https://github.com/ExposureGuard/haldir) 🐍 ☁️ 🍎 🪟 🐧 - Agent security layer for scoped sessions, secrets, audit trails, and proxy-based tool-call review. - [ExposureGuard/exposureguard-mcp](https://github.com/ExposureGuard/exposureguard-mcp) 🐍 ☁️ 🍎 🪟 🐧 - Domain security scanning MCP server for SPF, DMARC, SSL, headers, DNSSEC, and open-port checks with remediation guidance. - [IgorGanapolsky/ThumbGate](https://github.com/IgorGanapolsky/ThumbGate) 📇 🏠 - Pre-action gates for AI coding agents, blocking risky or repeated mistakes before they affect code or systems. - [matthiastjong/shellgate](https://github.com/matthiastjong/shellgate) 📇 ☁️/🏠 - Self-hosted secure gateway for AI agents with scoped tokens, credential injection, human review, SSH execution, and audit trails. ## CI/CD & DevOps Pipelines ### 🔄 Continuous Integration Tools for automating the integration of code changes and running tests. - [GeiserX/spinnaker-mcp](https://github.com/GeiserX/spinnaker-mcp) 🏎️ ☁️ - A Go-based MCP server that bridges any Spinnaker continuous delivery instance via the Gate API, exposing 37 tools for application management, pipeline operations, execution control, and infrastructure queries. - [Tiberriver256/mcp-server-github-actions](https://github.com/Tiberriver256/mcp-server-github-actions) 📇 ☁️ - MCP server for interacting with GitHub Actions workflows, enabling AI assistants to manage CI/CD pipelines. - [lobehub/mcp-hello-world](https://github.com/lobehub/mcp-hello-world) 📇 ☁️ - A simple Hello World MCP server for CI/CD test. - [ratamaha-git/n8n-mcp](https://github.com/ratamaha-git/n8n-mcp) 📇 🏠 - MCP server for authoring n8n workflows: scaffolds custom node TypeScript skeletons, generates valid workflow JSON from natural-language descriptions, and lints workflows for deprecated node types, missing `typeVersion`, and broken connections. Ships with a Claude Code skill. ### 📱 Mobile CI/CD Tools specifically designed for mobile application CI/CD pipelines. - [stefanoamorelli/codemagic-mcp](https://github.com/stefanoamorelli/codemagic-mcp) 🐍 ☁️ - Codemagic CI/CD MCP Server for mobile app CI/CD pipeline management. ### 🔄 DevOps Visibility Tools for providing visibility across the entire DevOps lifecycle. - [SBDI/mcp-devps-hub](https://github.com/SBDI/mcp-devps-hub) 🐍 🏠 - MCP server for end-to-end development visibility (Jira, GitHub, CI/CD, etc.). - [Acid-base/FastMCP-Proper](https://github.com/Acid-base/FastMCP-Proper) 🐍 🏠 - Python MCP server with CI/CD tooling and testability built-in. - [gofireflyio/firefly-mcp](https://github.com/gofireflyio/firefly-mcp) 🎖️ 📇 ☁️ - Integrates, discovers, manages, and codifies cloud resources with [Firefly](https://firefly.ai). ### 👨‍💻 Code Execution Code execution servers. Allow LLMs to execute code in a secure environment. - [pydantic/pydantic-ai/mcp-run-python](https://github.com/pydantic/pydantic-ai/tree/main/packages/mcp-run-python) 🐍 🏠- Run Python code in a secure sandbox via MCP tool calls - [yepcode/mcp-server-js](https://github.com/yepcode/mcp-server-js) 🎖️ 📇 ☁️ - Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages - [ckanthony/openapi-mcp](https://github.com/ckanthony/openapi-mcp) 🏎️ ☁️ - OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs. - [alfonsograziano/node-code-sandbox-mcp](https://github.com/alfonsograziano/node-code-sandbox-mcp) 📇 🏠 – A Node.js MCP server that spins up isolated Docker-based sandboxes for executing JavaScript snippets with on-the-fly npm dependency installation and clean teardown ### 🧪 Testing & Chaos Engineering Tools for testing, fault injection, and resilience validation. - [Typewise/mcp-chaos-rig](https://github.com/Typewise/mcp-chaos-rig) 📇 🏠 - A local MCP server that breaks on demand. Test your client against auth failures, disappearing tools, flaky responses, and token expiry, all from a web UI. - [ai-dashboad/flutter-skill](https://github.com/ai-dashboad/flutter-skill) - AI-powered E2E testing bridge for any app. Supports Flutter, iOS, Android, Web, Electron, Tauri, KMP, React Native, .NET MAUI. - [autonomous-testing/wopee-mcp](https://www.npmjs.com/package/wopee-mcp) 📇 ☁️ - AI testing agents for web apps — dispatch test runs, analysis crawls, and AI agent tests, fetch artifacts and project status. - [rog0x/mcp-testing-tools](https://github.com/rog0x/mcp-testing-tools) 📇 🏠 - Unit test generation, coverage analysis, test planning, fixture generation, and mutation testing suggestions. - [rog0x/mcp-perf-tools](https://github.com/rog0x/mcp-perf-tools) 📇 🏠 - Benchmarking, profiling, memory analysis, CPU analysis, and load testing. - [rog0x/mcp-log-tools](https://github.com/rog0x/mcp-log-tools) 📇 🏠 - Log parsing, pattern detection, error extraction, log statistics, and anomaly detection. ### 🤖 Coding Agents Full coding agents that enable LLMs to read, edit, and execute code and solve general programming tasks completely autonomously. - [bgauryy/octocode-mcp](https://github.com/bgauryy/octocode-mcp) ☁️ 📇 🍎 🪟 🐧 - AI-powered developer assistant that enables advanced research, analysis and discovery across GitHub ecosystem - [oraios/serena](https://github.com/oraios/serena) 🐍🏠 - A fully-featured coding agent that relies on symbolic code operations by using language servers. - [ezyang/codemcp](https://github.com/ezyang/codemcp) 🐍🏠 - Coding agent with basic read, write and command line tools. - - [Wolfe-Jam/claude-faf-mcp](https://github.com/Wolfe-Jam/claude-faf-mcp) 📇 🏠 - First & only persistent project context MCP. Provides .faf (Foundational AI-context Format) Project DNA with 33+ tools, Podium scoring (0-100%), and format-driven architecture. Official Anthropic Registry. 10k+ npm downloads. - [Wolfe-Jam/faf-mcp](https://github.com/Wolfe-Jam/faf-mcp) 📇 🏠 - Universal persistent project context for Cursor, Windsurf, Cline, VS Code, and all MCP-compatible platforms (including Claude Desktop). IANA-registered format (application/vnd.faf+yaml). 17 native tools, AI-readiness scoring. - [HendryAvila/Hoofy](https://github.com/HendryAvila/Hoofy) 🏎️ 🏠 🍎 🪟 🐧 - Spec-driven development companion with persistent memory (SQLite + FTS5 + knowledge graph), adaptive change pipeline (12 flow variants), greenfield project pipeline with Clarity Gate, and business rules extraction. 32 MCP tools. Single Go binary, zero dependencies. - [doggybee/mcp-server-leetcode](https://github.com/doggybee/mcp-server-leetcode) 📇 ☁️ - An MCP server that enables AI models to search, retrieve, and solve LeetCode problems. Supports metadata filtering, user profiles, submissions, and contest data access. - [jinzcdev/leetcode-mcp-server](https://github.com/jinzcdev/leetcode-mcp-server) 📇 ☁️ - MCP server enabling automated access to LeetCode's programming problems, solutions, submissions and public data with optional authentication for user-specific features (e.g., notes), supporting both `leetcode.com` (global) and `leetcode.cn` (China) sites. - [juehang/vscode-mcp-server](https://github.com/juehang/vscode-mcp-server) 📇 🏠 - A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits. - [scrapeless/mcp-server-scrapeless](https://github.com/scrapeless-ai/scrapeless-mcp-server) 📇☁️🍎🪟🐧 - Seamlessly integrate real-time Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications using the Scrapeless MCP server. - [blackwell-systems/agent-lsp](https://github.com/blackwell-systems/agent-lsp) 🏎️ 🏠 🍎 🪟 🐧 - MCP server providing language server intelligence for code analysis, navigation, and refactoring across 30 languages. Includes speculative execution (simulate edits before applying), blast-radius analysis, and three-layer verification. 56 tools, single Go binary. - [cafeTechne/antigravity-link-extension](https://github.com/cafeTechne/antigravity-link-extension) 📇 🏠 🍎 🪟 🐧 - Mobile companion and MCP/OpenAPI bridge for Google's Antigravity IDE, enabling remote session viewing and control. - [williamzujkowski/nexus-agents](https://github.com/williamzujkowski/nexus-agents) 🐍 🏠 - Multi-CLI AI coding-agent orchestration with consensus review, governance rules, telemetry, and development-pipeline workflows. - [sipyourdrink-ltd/bernstein](https://github.com/sipyourdrink-ltd/bernstein) 🐍 🏠 - Multi-agent CLI coding orchestrator with worktree isolation, model routing, quality gates, and audit logging. ### 🔗 Aggregators Servers for accessing many apps and tools through a single MCP server. - [askbudi/roundtable](https://github.com/askbudi/roundtable) 🐍 🏠 - Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface. - [Composiohq/Rube](https://github.com/composiohq/rube) - Rube is an MCP server built on the Composio integration platform. It connects your AI tools to 500+ apps. - [julien040/anyquery](https://github.com/julien040/anyquery) 🏎️ 🏠 ☁️ - Query more than 40 apps with one binary using SQL. It can also connect to your PostgreSQL, MySQL, or SQLite compatible database. Local-first and private by design. - [metatool-ai/metatool-app](https://github.com/metatool-ai/metatool-app) 📇 ☁️ 🏠 🍎 🪟 🐧 - MetaMCP is the one unified middleware MCP server that manages your MCP connections with GUI. - [mindsdb/mindsdb](https://github.com/mindsdb/mindsdb) - Connect and unify data across various platforms and databases with [MindsDB as a single MCP server](https://docs.mindsdb.com/mcp/overview). - [glenngillen/mcpmcp-server](https://github.com/glenngillen/mcpmcp-server) ☁️ 📇 🍎 🪟 🐧 - A list of MCP servers so you can ask your client which servers you can use to improve your daily workflow. - [smart-mcp-proxy/mcpproxy-go](https://github.com/smart-mcp-proxy/mcpproxy-go) 🏎️ 🏠 - Local MCP proxy that aggregates multiple servers behind a single endpoint. Features BM25 tool discovery, quarantine security, activity logging, Docker isolation, and web UI. - [wegotdocs/open-mcp](https://github.com/wegotdocs/open-mcp) 📇 🏠 🍎 🪟 🐧 - Turn a web API into an MCP server in 10 seconds and add it to the open source registry: [https://open-mcp.org](https://open-mcp.org) - [PipedreamHQ/pipedream](https://github.com/PipedreamHQ/pipedream/tree/master/packages/mcp-server) ☁️ 🏠 - Connect with 2,500 APIs with 8,000+ prebuilt tools, and manage servers for your users, in your own app. - [VeriTeknik/pluggedin-mcp-proxy](https://github.com/VeriTeknik/pluggedin-mcp-proxy) 📇 🏠 - A comprehensive proxy server that combines multiple MCP servers into a single interface with extensive visibility features. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers. - [tigranbs/mcgravity](https://github.com/tigranbs/mcgravity) 📇 🏠 - A proxy tool for composing multiple MCP servers into one unified endpoint. Scale your AI tools by load balancing requests across multiple MCP servers, similar to how Nginx works for web servers. - [MetaMCP](https://github.com/metatool-ai/metatool-app) 📇 ☁️ 🏠 🍎 🪟 🐧 - MetaMCP is the one unified middleware MCP server that manages your MCP connections with GUI. - [WayStation-ai/mcp](https://github.com/waystation-ai/mcp) ☁️ 🍎 🪟 - Seamlessly and securely connect Claude Desktop and other MCP hosts to your favorite apps (Notion, Slack, Monday, Airtable, etc.). Takes less than 90 secs. - [Strale](https://strale.dev) - 250+ quality-scored capabilities for AI agents: company data across 27 countries, compliance checks (KYB, AML, sanctions, GDPR), financial validation, web intelligence (SSL checks, DNS lookups, domain reputation), document extraction, developer tools (CVE lookup, dependency audit, code review), and data processing. Every capability independently tested with Strale Quality Score (SQS). Free tier available. - [sxhxliang/mcp-access-point](https://github.com/sxhxliang/mcp-access-point) 📇 ☁️ 🏠 🍎 🪟 🐧 - Turn a web service into an MCP server in one click without making any code changes. - [SkillFlow](https://github.com/rafsilva85/skillflow-mcp-server) 🌐📦🤖 - Open marketplace for AI agent skills. Discover 500+ MCP servers and automation tools, compare capabilities, and deploy to your AI stack. Free and open source. - [juspay/neurolink](https://github.com/juspay/neurolink) 📇 ☁️ 🏠 - TypeScript-first AI SDK that unifies 13 major AI providers and 100+ models under a single consistent API. Connects to remote MCP servers via addExternalMCPServer/addMCPServer APIs with built-in HTTP-based MCP connection, auth, retries, and rate limiting. - [Arch Tools](https://archtools.dev) ☁️ - 53 production-ready AI tools via MCP with x402 USDC payments. Web scraping, crypto data, AI generation, OCR, and more. - [pumanitro/global-chat](https://github.com/pumanitro/global-chat) 📇 ☁️ - Cross-protocol AI agent discovery MCP server. Searchable directory of 18K+ MCP servers across 6+ registries (mcp.so, Glama, Smithery, PulseMCP), with agents.txt validation and protocol-agnostic agent search. - [uAI-solana/useful-ai-mcp](https://github.com/uAI-solana/useful-ai-mcp) 📇 ☁️ - Fully dynamic MCP server exposing 200+ shared utility tools for AI agents. Tool list updates automatically based on real usage data. No auth required. - [supertrained/rhumb](https://github.com/supertrained/rhumb) 📇 ☁️ 🏠 - API discovery and scoring for AI agents, with service scoring and governed capability routing for external APIs. - [BytesAgain](https://github.com/bytesagain/ai-skills) - Searchable AI-agent skill catalog exposed through MCP SSE and REST APIs. - [lazymac/mcp](https://github.com/lazymac2x/lazymac-mcp) - Unified MCP server exposing developer utilities such as QR generation, IP geolocation, AI cost helpers, LLM routing, and privacy tooling. - [lazymac/k-mcp](https://github.com/lazymac2x/lazymac-k-mcp) - Korea-focused MCP utilities for privacy compliance, KRW/BOK rates, business registration lookup, geocoding, and NLP. - [unitedideas/nothumansearch](https://github.com/unitedideas/nothumansearch) 🏎️ ☁️ - MCP server for discovering agent-first tools and checking agentic readiness signals across indexed sites. ### 📂 Browser Automation Web content access and automation capabilities. Enables searching, scraping, and processing web content in AI-friendly formats. - [aircodelabs/grasp](https://github.com/aircodelabs/grasp) 📇 🏠 - Self-hosted browser using agent with built-in MCP and A2A support. - [Automata-Labs-team/MCP-Server-Playwright](https://github.com/Automata-Labs-team/MCP-Server-Playwright) 🐍 - An MCP server for browser automation using Playwright - [blackwhite084/playwright-plus-python-mcp](https://github.com/blackwhite084/playwright-plus-python-mcp) 🐍 - An MCP python server using Playwright for browser automation, more suitable for llm - [browserbase/mcp-server-browserbase](https://github.com/browserbase/mcp-server-browserbase) 🎖️ 📇 - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more) - [browsermcp/mcp](https://github.com/browsermcp/mcp) 📇 🏠 - Automate your local Chrome browser - [co-browser/browser-use-mcp-server](https://github.com/co-browser/browser-use-mcp-server) 🐍 - browser-use packaged as an MCP server with SSE transport. includes a dockerfile to run chromium in docker + a vnc server. - [Custodia-Admin/pagebolt-mcp](https://github.com/Custodia-Admin/pagebolt-mcp) 📇 ☁️ - Hosted web capture MCP server: screenshots, PDFs, narrated video recording, and page inspection for DevOps pipelines. No infrastructure required. - [executeautomation/mcp-playwright-server](https://github.com/executeautomation/playwright-mcp-server) 📇 - An MCP server using Playwright for browser automation and webscrapping - [eyalzh/browser-control-mcp](https://github.com/eyalzh/browser-control-mcp) 📇 🏠 - An MCP server paired with a browser extension that enables LLM clients to control the user's browser (Firefox). - [getrupt/ashra-mcp](https://github.com/getrupt/ashra-mcp) 🐍 🏠 - Extract structured data from any website. Just prompt and get JSON. - [kimtth/mcp-aoai-web-browsing](https://github.com/kimtth/mcp-aoai-web-browsing) 🐍 🏠 - A `minimal` server/client MCP implementation using Azure OpenAI and Playwright. - [mcpware/pagecast](https://github.com/mcpware/pagecast) 📇 🏠 - MCP server that records browser sessions as GIF/video using Playwright and ffmpeg — AI-driven QA evidence and demo recording. - [mcpware/ui-annotator-mcp](https://github.com/mcpware/ui-annotator-mcp) 📇 🏠 - MCP server that annotates web pages with hover labels for AI assistants — reverse proxy injects annotations, zero browser extensions needed. - [microsoft/playwright-mcp](https://github.com/microsoft/playwright-mcp) - Official Microsoft Playwright MCP server, enabling LLMs to interact with web pages through structured accessibility snapshots - [modelcontextprotocol/server-puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/server-puppeteer) 📇 🏠 - Browser automation for web scraping and interaction - [ndthanhdev/mcp-browser-kit](https://github.com/ndthanhdev/mcp-browser-kit) 📇 🏠 - An MCP Server for interacting with manifest v2 compatible browsers. - [kc23go/anybrowse](https://github.com/kc23go/anybrowse) 📇 ☁️ - Web scraping MCP server for AI agents using managed Chrome, with npm package and hosted service options. - [plasmate-labs/plasmate-mcp](https://github.com/plasmate-labs/plasmate-mcp) 📇 ☁️ - MCP server for Plasmate web-content capture and processing workflows in AI coding assistants. - [achiya-automation/safari-mcp](https://github.com/achiya-automation/safari-mcp) 📇 🏠 🍎 - Native Safari browser automation for AI agents on macOS, including navigation, interaction, screenshots, network inspection, and accessibility snapshots. - [opentabs-dev/opentabs](https://github.com/opentabs-dev/opentabs) 📇 🏠 - Plugin-based MCP server for giving AI agents structured access to web applications through the user's browser session. ## Build Tools & Dependency Management ### 🔧 Dependency Analysis Tools for analyzing and managing project dependencies across build systems. - [arvindand/maven-tools-mcp](https://github.com/arvindand/maven-tools-mcp) ☕ ☁️ 🏠 🍎 🪟 🐧 - Universal Maven Central dependency intelligence for JVM build tools (Maven, Gradle, SBT, Mill). Provides version lookups, dependency health checks, age analysis, release patterns, and upgrade guidance with Context7 integration. - [lunacompsia-oss/mcp-server-changelog](https://github.com/lunacompsia-oss/mcp-server-changelog) 📇 ☁️ 🏠 🍎 🪟 🐧 - Fetch and parse changelogs, release notes, and breaking changes from npm, PyPI, crates.io, and GitHub repositories. - [lunacompsia-oss/mcp-server-deps](https://github.com/lunacompsia-oss/mcp-server-deps) 📇 ☁️ 🏠 🍎 🪟 🐧 - Analyze dependency trees, check for vulnerabilities via OSV.dev, and audit outdated packages across npm, PyPI, and crates.io. - [lunacompsia-oss/mcp-server-license](https://github.com/lunacompsia-oss/mcp-server-license) 📇 ☁️ 🏠 🍎 🪟 🐧 - Check license types, SPDX compliance, compatibility matrices, and risk classification for open-source dependencies. - [tersePrompts/jarp-mcp](https://github.com/tersePrompts/jarp-mcp) 📇 ☕ 🏠 - Java Archive Reader Protocol - MCP server that gives AI agents X-ray vision into compiled Java code. Enables decompiling and analyzing Java classes directly from Maven/Gradle dependencies using bundled CFR decompiler with zero-setup installation. ## Monitoring & Observability ### 📊 Metrics & Monitoring Tools for collecting, querying, and analyzing metrics in DevOps environments. - [CaesarYangs/prometheus_mcp_server](https://github.com/CaesarYangs/prometheus_mcp_server) 🐍 ☁️ - A Model Context Protocol server enabling LLMs to query, analyze, and interact with Prometheus databases through predefined routes. - [etruong42/prometheus-mcp](https://github.com/etruong42/prometheus-mcp) 🐍 ☁️ - MCP server to connect LLMs with Prometheus HTTP API for metrics querying and analysis. - [loginmqv/mcp-server-prometheus](https://github.com/loginmqv/mcp-server-prometheus) 📇 ☁️ - MCP server for interacting with Prometheus, enabling AI assistants to query and analyze metrics data. - [pab1it0/prometheus-mcp-server](https://github.com/pab1it0/prometheus-mcp-server) 🐍 ☁️ - A Model Context Protocol server that enables AI assistants to query and analyze Prometheus metrics through standardized interfaces. - [VictoriaMetrics-Community/mcp-victoriametrics](https://github.com/VictoriaMetrics-Community/mcp-victoriametrics) 🏎️ ☁️ - The implementation of Model Context Protocol (MCP) server for VictoriaMetrics. This provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. - [Middleware MCP Server](https://github.com/middleware-labs/mcp-middleware) - MCP server for interacting with Middleware observability data, enabling AI assistants to query logs, metrics, traces, and infrastructure telemetry through standardized interfaces. ### 📱 Social Media Monitoring Tools for monitoring social media platforms and extracting data. - [Xquik](https://xquik.com) 📇 ☁️ - X/Twitter account monitoring and data extraction — MCP server, REST API, HMAC webhooks, 40+ extraction tools. ### 🔔 Alerting & Notification Tools for managing alerts and notifications in monitoring systems. - [kaznak/alertmanager-mcp](https://github.com/kaznak/alertmanager-mcp) 📇 ☁️ - A Model Context Protocol server that integrates with Prometheus Alertmanager for alert management and notification. ### 🔍 Application Performance Monitoring Tools for monitoring application performance and infrastructure health. - [AlexlaGuardia/Vigil](https://github.com/AlexlaGuardia/Vigil) 🐍 ☁️/🏠 - MCPWatch instruments any Python MCP server in one line — FastMCP and low-level Server, same API. Per-tool latency (p50/p95/p99), error rates, silent-failure detection, and call-volume tracking. REST API, CLI, alerts. MIT. - [alilxxey/openobserve-community-mcp](https://github.com/alilxxey/openobserve-community-mcp) 🐍 🏠 - MCP server for OpenObserve Community Edition via REST API. Read-only tools for searching logs, traces, stream schemas, and dashboards without requiring the Enterprise license. - [dynatrace-oss/dynatrace-mcp](https://github.com/dynatrace-oss/dynatrace-mcp) 📇 ☁️ - MCP server for Dynatrace Observability monitoring, providing AI-powered insights into application performance and infrastructure health. - [ingero-io/ingero](https://github.com/ingero-io/ingero) 🏎️ 🏠 - eBPF-based GPU causal observability agent with MCP server, providing AI assistants with causal chains explaining GPU latency from CUDA Runtime/Driver API tracing and host kernel event tracing. - [last9/last9-mcp-server](https://github.com/last9/last9-mcp-server) 🏎️ ☁️ - Last9 MCP Server for observability and monitoring, providing AI assistants with access to metrics, logs, and traces. - [willibrandon/CursorMCPMonitor](https://github.com/willibrandon/CursorMCPMonitor) #️⃣ 🏠 - Real-time monitoring tool for Model Context Protocol interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges. - [Polar Signals Remote MCP](https://www.polarsignals.com/blog/posts/2025/07/17/the-mcp-for-performance-engineering) 🐍 ☁️ - MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in production systems. - [unitedideas/resolve-mcp](https://github.com/unitedideas/resolve-mcp) 🐍 ☁️ - Structured error recovery for AI agents. Returns resolution playbooks with backoff schedules, retry strategies, and recovery steps for 20+ services (OpenAI, Anthropic, Stripe, AWS, Postgres, Redis, Twilio, etc.). Complements monitoring tools by telling agents how to recover from errors, not just detect them. - [Uptrack-App/uptrack-mcp](https://github.com/Uptrack-App/uptrack-mcp) 📇 ☁️ - Uptime monitoring MCP server. 10 tools for listing/creating/pausing monitors and acknowledging incidents. Remote Streamable-HTTP at `api.uptrack.app/mcp` (OAuth 2.0) or stdio via `npx @uptrack-app/mcp`. - [nicofains1/agentwatch](https://github.com/nicofains1/agentwatch) 📇 🏠 - Multi-agent observability for cascade failure detection, fleet-wide heartbeat monitoring, and forensic replay. Works as an npm library or MCP server. - [kame6493-del/mcp-diagnostics](https://github.com/kame6493-del/mcp-diagnostics) 📇 ☁️ - Website and server diagnostics MCP server for DNS, SSL, HTTP headers, security audits, WHOIS, and tech-stack detection. - [vdalhambra/siteaudit-mcp](https://github.com/vdalhambra/siteaudit-mcp) 🐍 ☁️ - URL audit MCP server for SEO, performance, accessibility, and security checks. - [Voidly](https://github.com/voidly-ai/mcp-server) 📇 ☁️ - MCP server for global network and censorship intelligence, useful for service-accessibility monitoring and blocking diagnostics. ## Project & Service Management ### 🎫 Ticketing Systems Tools for managing customer support tickets and helpdesk operations. - [effytech/freshdesk-mcp](https://github.com/effytech/freshdesk_mcp) 🐍 ☁️ - MCP server that integrates with Freshdesk, enabling AI models to interact with Freshdesk modules and perform various support operations. - [dbsanfte/topdesk-mcp](https://github.com/dbsanfte/topdesk-mcp) 🐍 ☁️ - MCP server for the Topdesk ticketing system, allowing AI models to interact with and add comments to incident tickets. ### 📋 Project Management Tools for managing projects, issues, and workflows. - [nguyenvanduocit/jira-mcp](https://github.com/nguyenvanduocit/jira-mcp) 🏎️ ☁️ - A Go-based MCP connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow transitions. - [sooperset/mcp-atlassian](https://github.com/sooperset/mcp-atlassian) 🐍 ☁️ - MCP server for Atlassian products (Confluence and Jira). Supports Confluence Cloud, Jira Cloud, and Jira Server/Data Center. Provides comprehensive tools for searching, reading, creating, and managing content across Atlassian workspaces. - [Pangu-Immortal/qflow](https://github.com/Pangu-Immortal/qflow) 🐍 🏠 - AI project-management MCP server for task tracking, spec-driven development, multi-agent collaboration, quality gates, and workflow automation. ### 🌐 CMS & Web Platforms Tools for managing web publishing platforms and CMS-backed services. - [mvtandas/wp-cli-mcp](https://github.com/mvtandas/wp-cli-mcp) 📇 🏠 - WordPress management MCP server built on WP-CLI for themes, plugins, posts, menus, users, database operations, and scaffolding. ## AI Agent Infrastructure ### 🧠 Memory & Context Tools for persistent memory, context management, and knowledge retention for AI agents. - [dakera-ai/dakera-mcp](https://github.com/dakera-ai/dakera-mcp) 🦀 🏠 🍎 🪟 🐧 - Self-hosted MCP-native agent memory server. 83 tools for persistent, decay-weighted episodic memory across sessions. RocksDB + HNSW, 87.8% LoCoMo benchmark. Docker Compose deployment, multi-SDK support. - [mcpware/claude-code-organizer](https://github.com/mcpware/claude-code-organizer) 📇 🏠 - MCP server to organize Claude Code configurations — scan, move, delete memories, skills, MCP servers, and hooks across project and user scopes. - [omega-memory/omega-memory](https://github.com/omega-memory/omega-memory) 🐍 🏠 - Local-first persistent memory for AI agents. SQLite + ONNX embeddings, semantic search, auto-capture, checkpoint/resume. #1 on LongMemEval benchmark. - [SKULLFIRE07/cortex-memory](https://github.com/SKULLFIRE07/cortex-memory) 📇 🏠 - Persistent AI memory for coding assistants. Auto-captures decisions, patterns, and context across sessions. VSCode extension + CLI + MCP server. MIT licensed. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 🏠 ☁️ - Long-term memory for AI agents with semantic search, auto-capture, and framework integrations. - [novyxlabs/novyx-mcp](https://github.com/novyxlabs/novyx-mcp) 🐍 🏠 ☁️ - Persistent memory and governance for AI agents with local core memory and optional cloud-backed policy, approval, and audit workflows. - [eidetic-works/nucleus-mcp](https://github.com/eidetic-works/nucleus-mcp) 🐍 🏠 - Persistent memory and execution context MCP server for AI IDEs, with local-first project memory and governance tools. - [qualixar/superlocalmemory](https://github.com/qualixar/superlocalmemory) 🐍 📇 🏠 - Local-first persistent agent memory with hybrid retrieval across semantic, lexical, temporal, and graph signals. ### 💰 API Cost Management Tools for tracking and comparing model/API pricing for AI-agent workloads. - [benbencodes/llm-prices](https://github.com/benbencodes/llm-prices) 🐍 🏠 - Zero-dependency Python CLI, library, and MCP server for calculating and comparing LLM API costs across major providers. ## Frameworks - [MervinPraison/praisonai-mcp](https://github.com/MervinPraison/praisonai-mcp) 🐍 🏠 ☁️ - AI Agents framework with 64+ built-in MCP tools for automation, including search, memory, workflows, code execution, and file operations. Frameworks for building your own MCP servers. - [FastMCP](https://github.com/jlowin/fastmcp) 🐍 - A high-level framework for building MCP servers in Python - [FastMCP](https://github.com/punkpeye/fastmcp) 📇 - A high-level framework for building MCP servers in TypeScript - [tersePrompts/fastMCP4J](https://github.com/tersePrompts/fastMCP4J) ☕ 🏠 - Lightweight Java library for building MCP servers using annotations. Annotation-driven development with only 12 dependencies, built-in tools (memory, todo, planner, file ops, bash, telemetry), multi-class modules support, and <500ms cold start. ## Contributing Contributions welcome! Read the [contribution guidelines](CONTRIBUTING.md) first. ## License This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.