AgentRPC

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Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/).

Source Code

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.)

How It Works

Registration: Use our SDK to register functions and APIs in any language
Management: The AgentRPC platform (api.agentrpc.com) registers the function and monitors its health
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 example on our docs site.

Examples

Explore working examples in the examples directory.

MCP Server

The AgentRPC TypeScript SDK includes an optional MCP (Model Context Protocol) server.

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

{
  "mcpServers": {
    "agentrpc": {
      "command": "npx",
      "args": [
        "-y",
        "agentrpc",
        "mcp"
      ],
      "env": {
        "AGENTRPC_API_SECRET": "<YOUR_API_SECRET>"
      }
    }
  }
}

More Info

Cursor Integration

Add to your

~/.cursor/mcp.json

{
  "mcpServers": {
    "agentrpc": {
      "command": "npx",
      "args": ["-y", "agentrpc", "mcp"],
      "env": {
        "AGENTRPC_API_SECRET": "<YOUR_API_SECRET>"
      }
    }
  }
}

More Info