AgentRPC

MCP Server

AgentRPC

Universal RPC layer for AI agents across network boundaries and languages

Command: npxUpdated: 7/4/2025

AgentX allows you connect AI agents with thousands of the most popular apps through MCP, so you can automate your AI workflow and have more time for what matters most — no code required.

Installation

Run AgentRPC MCP server on AgentX without a single line of code.

Check out our docs

Or run AgentRPC MCP server on your terminal:

npx -y agentrpc mcp

Run this command to start the AgentRPC MCP server.

View on GitHub

Required Environment Variables

ANGENTRPC_API_SECRETRequired

Make sure to set these environment variables before running the server.

View full documentation

Command Arguments

→
-y
→
agentrpc
→
mcp
View full documentation

Server Information

Commandnpx
Arguments3
Env Variables1
Order27
Last Updated7/4/2025
Created5/8/2025

Documentation

View on GitHub

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

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.

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

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.

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