Content
# Model Context Protocol Marketplace
MCP Server sharing repository in Volcano Engine Large Model Ecosystem Plaza supports users to explore and experience the rich ecosystem services of large models, easily integrate comprehensive and easy-to-use tools, and enjoy enterprise-level stable, efficient, and secure technical support, fully releasing the potential of models and empowering innovative application development.
[Volcano Engine Large Model Ecosystem Plaza](https://www.volcengine.com/mcp-marketplace) has launched 100+ MCP Servers, integrating rich Volcano Engine official cloud services and high-quality third-party ecosystem tools. It also supports users to quickly jump to Volcano Ark or other platforms that support the MCP protocol (such as Trae, Cursor, Python, etc.) in combination with Volcano Ark's large model services, helping enterprise developers accurately build AI large model applications that meet their own business scenarios, and open up the "last mile" of large model application implementation.
## Product Advantages
- **Rich Resource Integration:** Integrates rich cloud resources and high-quality third-party services, providing Volcano Engine official cloud service MCP Servers, such as databases, storage, etc., and integrates various third-party ecosystem tools, thereby providing customers with more production-available and high-value tools and resources.
- **Flexible Deployment Mode:** Provides Local and Remote MCP service deployment modes, flexibly adapting to the diverse application scenarios of enterprise customers.
- **End-to-End Application Ecosystem Integration:** Relying on ByteDance's ecosystem resources, it is easy to build end-to-end AI applications. Users can select the required MCP services in the Ecosystem Plaza, and combine them with the large model services provided by [Volcano Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&projectName=default&type=new) to jump to Volcano Ark or platforms such as Trae that support the MCP protocol to quickly develop and build applications.
## Usage Guide
1. **View MCP Server Details**
In the Volcano Engine [Large Model Ecosystem Plaza](https://www.volcengine.com/mcp-marketplace), select the appropriate MCP Server and view the details.
2. **Select the Platform Where the MCP Server Will Run**
Check the platforms that the current MCP Server has adapted to and select the appropriate platform.
3. **View and Compare Available Tools**
Carefully review the function descriptions and required input parameters of the available Tools, and try to run the corresponding functions.
4. **Obtain Exclusive URL or Code Examples**
Check the account login status and service activation status to generate a unique URL or code example.
5. **Go to MCP Client for Installation and Use**
Copy the URL or JSON and go to the supported MCP Client for installing and using the MCP Server.
## MCP Client Support List
- **Volcano Ark**: Currently, MCP service supports Experience Center and High-Code Application
- **Trae**
- **Cursor**
- **Python**
## MCP Server List
MCP Server list is synchronized with **[Volcano Engine Large Model Ecosystem Plaza](https://www.volcengine.com/mcp-marketplace)**.
### **Compute**
- **[ECS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ecs)**: Natural language-driven resource management of cloud server instances and images.
- **[Cloud Assistant MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloud_assistant)**: Natural language-driven sending and execution of custom commands to cloud server instances.
### **Storage**
- **[TOS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tos)**: Manage TOS resources based on MCP and intelligently explore data.
- **[TLS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tls)**: Natural language-driven new experience in log analysis.
- **[EBS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ebs)**: Provides MCP interface for Volcano Engine EBS (Elastic Block Storage) service, supports querying cloud disk and snapshot information, and helps developers quickly integrate EBS storage management capabilities into AI applications.
### **Database**
- **[RDS MySQL MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_rds_mysql)**: Cloud Database MySQL is a ready-to-use, stable, reliable, flexible, and easy-to-use relational database service.
- **[veDB MySQL MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vedb_mysql)**: Cloud Database veDB MySQL uses a compute-storage separation architecture, is 100% compatible with MySQL, supports up to 200TiB of ultra-large-capacity structured data storage, and a single database cluster can be expanded to up to 16 compute nodes.
- **[Redis MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_redis)**: Natural language-driven management of Volcano Engine cache database Redis instances.
- **[MongoDB MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mongodb)**: Natural language-driven sending and execution of custom commands to Volcano Engine Document Database MongoDB instances.
- **[CloudSearch MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloudsearch)**: Cloud Search is a fully managed one-stop information retrieval and analysis platform provided by Volcano Engine.
### **Containers and Middleware**
- **[veFaaS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_function)**: veFaaS MCP Server helps you easily manage the lifecycle of functions and triggers.
- **[VMP MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vmp)**: Natural language-driven query and analysis of Prometheus metric data.
- **[APMPlus MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_apmplus)**: Natural language-driven query of application service link tracking logs and runtime metrics.
- **[VKE MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vke)**: Natural language-driven management of Volcano Engine Container Service VKE instances.
### **CDN and Edge**
- **[CDN MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cdn)**: Volcano Engine CDN intelligent analysis assistant.
- **[Edge Computing Node MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_veen)**: Apply for, configure, and view virtual machines, images, bare metal, and corresponding network configurations on edge computing nodes.
- **[ALB MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_alb)**: View information about Application Load Balancer instances, including instance-related listeners, backend server groups, and certificate information.
### **Big Data**
- **[LAS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_las)**: LAS provides multi-modal dataset management and cleaning capabilities.
- **[ByteHouse MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_bytehouse)**: ByteHouse MCP Server realizes efficient collaboration between large language models and ByteHouse, supporting data development (generating and applying code), query optimization (analyzing suggestions and converting them into strategies), and cluster operation and maintenance (risk prediction and handling).
### **Video Cloud**
- **[Live MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_live)**: Efficiently query video live broadcast service data through natural language.
- **[VeVOD MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vod)**: Volcano Engine VOD intelligent editing assistant.
- **[veImageX MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_veimagex)**: Volcano Engine veImageX intelligent image assistant.
- **[Cloud Phone Mobile Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mobile_use)**: Automate cloud phone tasks based on MCP for Agent.
### **Security**
- **[Security Intelligence Agent MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_sec_agent)**: AI-driven security operation agent, integrating Volcano Security's own tools and third-party ecosystem one-stop intelligent security operation services.
### **Enterprise Services and Cloud Communication**
- **[Certificate Center MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_certificate_center)**: Manage certificate services through natural language-driven.
- **[Domain Service MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_domain_service)**: Efficiently query and register domain names through natural language.
- **[TrafficRoute MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_traffic_route)**: Various types of DNS node link configurations.
### **Management and Governance**
- **[Billing MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_billing)**: Call Volcano Engine billing center services through natural language-driven.
- **[IAM MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_iam)**: Manage Volcano Engine permission system through natural language-driven.
- **[STS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_sts)**: Call Volcano Engine security credential service through natural language-driven.
- **[ResourceShare MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_resource_share)**: Call Volcano Engine resource sharing service through natural language-driven.
- **[Project MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_project)**: Call Volcano Engine cloud project management service through natural language-driven.
- **[CloudIdentity MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloudidentity)**: Call Volcano Engine cloud identity center service through natural language-driven.
- **[Organization MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_organization)**: Call Volcano Engine enterprise organization service through natural language-driven.
- **[Tag MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tag)**: Call Volcano Engine tag service through natural language-driven.
- **[ResourceCenter MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_resourcecenter)**: Call Volcano Engine resource center service through natural language-driven.
- **[CloudTrail MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloud_trail)**: Call Volcano Engine cloud audit service through natural language-driven.
### **Developer Tools**
- **[CCAPI MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ccapi)**: MCP tool for managing Volcano Engine resources based on Volcano Engine's Cloud Control API.
- **[Browser-Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_browser_use)**: Browser-use based MCP browser tool.
- **[Code-Sandbox MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_sandbox)**: Code sandbox for LLM.
- **[Computer-Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_computer_use)**: Natural language-driven efficient management of applications within cloud server instances.
- **[云登-云端指纹浏览器](https://github.com/clpublic/mcp-server-cloudbrowser-go)**: Provides cloud browser automated interaction.
- **[Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking)**: Dynamic and reflective problem-solving through thought sequences.
- **[Everything](https://github.com/modelcontextprotocol/servers/tree/main/src/everything)**: Reference / test server with prompts, resources, and tools.
- **[Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory)**: Knowledge graph-based persistent memory system.
- **[Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer)**: Browser automation and web scraping.
- **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)**: Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more).
- **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)**: Work on your code with JetBrains IDEs.
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)**: Interact with your crash reporting and real using monitoring data on your Raygun account.
- **[Dify](https://github.com/YanxingLiu/dify-mcp-server)**: A simple implementation of an MCP server for dify workflows.
- **[Docker](https://github.com/ckreiling/mcp-server-docker)**: Integrate with Docker to manage containers, images, volumes, and networks.
- **[Drupal](https://github.com/Omedia/mcp-server-drupal)**: Server for interacting with Drupal using STDIO transport layer.
- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)**: Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more.
- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)**: Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more.
- **[Minima](https://github.com/dmayboroda/minima)**: MCP server for RAG on local files.
- **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)**: C++ MCP integration for Oat++.
- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)**: Interact with OpenAPI APIs.
- **[OpenCTI](https://github.com/Spathodea-Network/opencti-mcp)**: Interact with OpenCTI platform to retrieve threat intelligence data.
- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)**: Interact with and discover JSON-RPC APIs via OpenRPC.
### **Search Tools**
- **[汉得-精准营销](https://github.com/koudaiDemon/mcp-server-hand)**: By analyzing user dialogues, accurately extract multi-dimensional tags, and intelligently match product tags in the industry database, so as to accurately recommend products that meet the needs of users, improve the shopping experience and conversion rate.
- **[水滴信用-企业大数据](https://github.com/shuididata/mcp-server)**: Serve enterprises well with good data, enterprise credit information service provider.
- **[飞常准-Aviation](https://github.com/variflight/variflight-mcp)**: Aviation MCP Server provides 7 core API interfaces, covering real-time flight dynamics, OD pair flight query, flight transfer plan, ride comfort (including on-board cabin facilities and meals), real-time aircraft positioning, airport future weather, and air ticket fare services.
- **[Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search)**: Web and local search using Brave's Search API.
- **[Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)**: Web content fetching and conversion for efficient LLM usage.
- **[Tavily search](https://github.com/RamXX/mcp-tavily)**: An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions.
- **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server)**: Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
- **[Youtube](https://github.com/ZubeidHendricks/youtube-mcp-server)**: Comprehensive YouTube API integration for video management, Shorts creation, and analytics.
- **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)**: Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting.
- **[Exa](https://github.com/exa-labs/exa-mcp-server)**: Search Engine made for AIs by Exa.
- **[Kagi Search](https://github.com/kagisearch/kagimcp)**: Search the web using Kagi's search API.
- **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)**: Interact & query with Meilisearch (Full-text & semantic search API).
- **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)**: Implement semantic memory layer on top of the Qdrant vector search engine.
- **[Search1API](https://github.com/fatwang2/search1api-mcp)**: One API for Search, Crawling, and Sitemaps.
- **[Glean](https://github.com/longyi1207/glean-mcp-server)**: A server that uses Glean API to search and chat.
- **[Pinecone](https://github.com/sirmews/mcp-pinecone)**: MCP server for searching and uploading records to Pinecone.
- **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)**: MCP server implementation that provides Elasticsearch interaction.
- **[AI搜索引擎](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_aisearch_engine)**: Based on the multi-modal semantic representation and understanding capabilities of large models, combined with ByteDance's years of best practices in the field of information retrieval, it provides customers with out-of-the-box AI search building platform services to help customers easily build and integrate end-to-end multi-modal image and text search and recommendation capabilities.
### **Location Services**
- **高德地图**: Gaode Map Official MCP Server.
- **[百度地图](https://github.com/baidu-maps/mcp)**: Baidu Maps core API is now fully compatible with the MCP protocol, and is the first map service provider in China to be compatible with the MCP protocol.
- **[Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps)**: Location services, directions, and place details.
- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)**: A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
### **Content Generation**
- **[咔片-智能生成 PPT](https://github.com/cappt-team/mcp-server)**: Cappt, lightweight online presentation design.
- **[必优-ChatPPT](https://github.com/YOOTeam/chatppt-mcp)**: Biyu Technology's intelligent document MCP Server has now covered 18 intelligent document interface capabilities, including but not limited to document processing capabilities in scenarios such as PPT creation, PPT beautification, PPT generation, resume creation, resume analysis, and human-job matching.
- **[Figma](https://github.com/GLips/Figma-Context-MCP)**: Provides Agents with layout and style information of Figma files, enhancing their ability to accurately generate designs.
- **[EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart)**: AI image generation using various models.
- **[联网问答Agent](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_askecho)**: Based on online search results, it provides end-to-end AI Q&A capabilities.
- **[SearchInfinity](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_askecho_search_infinity)**: Provides online search capabilities to help AI large models acquire knowledge and improve the accuracy of responses.
### **Source Code Management**
- **[GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github)**: Repository management, file operations, and GitHub API integration.
- **[E2B](https://github.com/e2b-dev/mcp-server)**: Run code in secure sandboxes hosted by E2B.
- **[Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git)**: Tools to read, search, and manipulate Git repositories.
- **[GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab)**: GitLab API, enabling project management.
- **[Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry)**: Retrieving and analyzing issues from Sentry.io.
### **Data Query**
- **[Neon](https://github.com/neondatabase/mcp-server-neon)**: Interact with the Neon serverless Postgres platform.
- **[PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres)**: Read-only database access with schema inspection.
- **[Sqlite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite)**: Database interaction and business intelligence capabilities.
- **[Axiom](https://github.com/axiomhq/mcp-server-axiom)**: Query and analyze your Axiom logs, traces, and all other event data in natural language.
- **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)**: Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1).
- **[Metoro](https://github.com/metoro-io/metoro-mcp-server)**: Query and interact with kubernetes environments monitored by Metoro.
- **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)**: Query and analyze data with MotherDuck and local DuckDB.
- **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)**: Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory.
- **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)**: Interact with Tinybird serverless ClickHouse platform.
- **[Chroma](https://github.com/privetin/chroma)**: Vector database server for semantic document search and metadata filtering, built on Chroma.
- **[MySQL](https://github.com/designcomputer/mysql_mcp_server)**: MySQL database integration in Python with configurable access controls and schema inspection.
- **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)**: MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)**: Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export.
- **[Redis](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_redis)**: MCP server for interacting with Redis, a high-performance in-memory NoSQL key-value database.
- **[MongoDB](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mongodb)**: A Model Context Protocol Server for MongoDB.
- **[MSSQL](https://github.com/RichardHan/mssql_mcp_server)**: MSSQL database integration with configurable access controls and schema inspection.
### **File Management**
- **[Excel](https://github.com/negokaz/excel-mcp-server)**: A Model Context Protocol (MCP) server that reads and writes MS Excel data.
- **[XMind](https://github.com/apeyroux/mcp-xmind)**: Read and search through your XMind directory containing XMind files.
- **[Filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem)**: Secure file operations with configurable access controls.
- **[Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive)**: File access and search capabilities for Google Drive.
- **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)**: Immutable ledger database with live synchronization.
- **[Needle](https://github.com/needle-ai/needle-mcp)**: Production-ready RAG out of the box to search and retrieve data from your own documents.
- **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)**: Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details.
- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)**: MCP server for seamless document format conversion using Pandoc.
### **Collaboration & Communication**
- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)**: Query and Summarize chat messages with LLM.
- **[Notion](https://github.com/v-3/notion-server)**: Notion MCP integration. Search, Read, Update, and Create pages through Claude chat.
- **[ChatMCP](https://github.com/AI-QL/chat-mcp)**: An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs.
- **[Google Calendar](https://github.com/v-3/google-calendar)**: Integration with Google Calendar to check schedules, find time, and add/delete events.
- **[Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack)**: Channel management and messaging capabilities.
- **[Google Tasks](https://github.com/zcaceres/gtasks-mcp)**: Google Tasks API Model Context Protocol Server.
### **Finance & Accounting**
- **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)**: Provides access to coinmarketcap cryptocurrency data.
### **Other**
- **[Time](https://github.com/modelcontextprotocol/servers/tree/main/src/time)**: Time and timezone conversion capabilities.
- **[Spotify](https://github.com/varunneal/spotify-mcp)**: This MCP allows an LLM to play and use Spotify.
- **[cognee-mcp](https://github.com/topoteretes/cognee/tree/main/cognee-mcp)**: GraphRAG memory server with customizable ingestion, data processing and search.
- **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)**: Read, update, delete, publish content in your Contentful space(s) from this MCP Server.
- **[Home Assistant](https://github.com/tevonsb/homeassistant-mcp)**: Interact with Home Assistant including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
- **[Placid.app](https://github.com/felores/placid-mcp-server)**: Generate image and video creatives using Placid.app templates.
- **[Playwright](https://github.com/executeautomation/mcp-playwright)**: This MCP Server will help you run browser automation and webscraping using Playwright.
## MCP Protocol Support
- [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk)
- [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk)
- [MCP intro](https://modelcontextprotocol.io/introduction)
## License
volcengine/mcp-server is licensed under the [MIT License](https://github.com/volcengine/mcp-server/blob/main/LICENSE).
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