AgentRPC

# AgentRPC     > Universal RPC layer for AI agents across network boundaries and languages ## Overview AgentRPC allows you to connect to any function, in any language, across network boundaries. It's ideal when you have services deployed in: - Private VPCs - Kubernetes clusters - Multiple cloud environments AgentRPC wraps your functions in a universal RPC interface, connecting them to a hosted RPC server accessible through open standards: - Model Context Protocol (MCP) - OpenAI-compatible tool definitions (OpenAI, Anthropic, LiteLLM, OpenRouter, etc.) <p align="center"> <img src="./assets/deployment.png" alt="deployment" width="500"> </p> ## How It Works 1. **Registration**: Use our SDK to register functions and APIs in any language 2. **Management**: The AgentRPC platform (api.agentrpc.com) registers the function and monitors its health 3. **Access**: Receive OpenAPI SDK compatible tool definitions and a hosted MCP server for connecting to compatible agents ## Key Features | Feature | Description | |---------|-------------| | **Multi-language Support** | Connect to tools in TypeScript, Go, Python and .NET (coming soon) | | **Private Network Support** | Register functions in private VPCs with no open ports required | | **Long-running Functions** | Long polling SDKs allow function calls beyond HTTP timeout limits | | **Full Observability** | Comprehensive tracing, metrics, and events for complete visibility | | **Automatic Failover** | Intelligent health tracking with automatic failover and retries | | **Framework Compatibility** | Out-of-the-box support for MCP and OpenAI SDK compatible agents | ## Getting Started ### Quick Start Follow the [quick start](https://docs.agentrpc.com/quickstart) example on our docs site. ### Examples Explore working examples in the [examples](./examples) directory. ## MCP Server The AgentRPC TypeScript SDK includes an optional MCP (Model Context Protocol) server. ```sh ANGENTRPC_API_SECRET=YOUR_API_SECRET npx agentrpc mcp ``` This launches an MCP-compliant server for external AI models to interact with your registered tools. ### Claude Desktop Integration Add to your `claude_desktop_config.json`: ```json { "mcpServers": { "agentrpc": { "command": "npx", "args": [ "-y", "agentrpc", "mcp" ], "env": { "AGENTRPC_API_SECRET": "<YOUR_API_SECRET>" } } } } ``` [More Info](https://modelcontextprotocol.io/quickstart/user) ### Cursor Integration Add to your `~/.cursor/mcp.json`: ```json { "mcpServers": { "agentrpc": { "command": "npx", "args": ["-y", "agentrpc", "mcp"], "env": { "AGENTRPC_API_SECRET": "<YOUR_API_SECRET>" } } } } ``` [More Info](https://docs.cursor.com/context/model-context-protocol#configuring-mcp-servers) ## License This project is licensed under the Apache License 2.0 - see the LICENSE file for details. This repository contains all the open-source components and SDKs for AgentRPC.