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A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.

135 stars TypeScriptOthers Updated Aug 20, 2026

Documentation

AgentRPC

NPM Version
GitHub go.mod Go version
PyPI - Python Version
License

> 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

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

FeatureDescription
Multi-language SupportConnect to tools in TypeScript, Go, Python and .NET (coming soon)
Private Network SupportRegister functions in private VPCs with no open ports required
Long-running FunctionsLong polling SDKs allow function calls beyond HTTP timeout limits
Full ObservabilityComprehensive tracing, metrics, and events for complete visibility
Automatic FailoverIntelligent health tracking with automatic failover and retries
Framework CompatibilityOut-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.

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": ""
      }
    }
  }
}

More Info

Cursor Integration

Add to your `~/.cursor/mcp.json`:

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

More Info

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.

Frequently asked questions

What is agentrpc?

agentrpc is A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.

How do I install agentrpc?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is agentrpc open source?

Yes — it is hosted on GitHub at https://github.com/agentrpc/agentrpc and has 135 stars.

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