ai-mldeveloper-tools

AgentRPC▌

by agentrpc

AgentRPC is a universal RPC layer for AI agents, enabling seamless connection to any function, language, or framework in

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

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Multi-language support (TypeScript, Go, Python, .NET)No open ports required for private networksBuilt-in observability and health monitoring

best for

/ AI agents needing to call services in private VPCs
/ Cross-language function integration for AI systems
/ Distributed AI applications across multiple cloud environments
/ Teams building AI agents with complex backend integrations

capabilities

/ Connect functions across multiple programming languages
/ Access services in private VPCs without open ports
/ Execute long-running functions beyond HTTP timeouts
/ Monitor function health with automatic failover
/ Register functions with hosted RPC management
/ Generate OpenAI-compatible tool definitions

what it does

AgentRPC provides a universal RPC layer that lets AI agents call functions across different languages and private networks. It wraps your functions and exposes them through MCP and OpenAI-compatible tool interfaces.

about

AgentRPC is an official MCP server published by agentrpc that provides AI assistants with tools and capabilities via the Model Context Protocol. AgentRPC is a universal RPC layer for AI agents, enabling seamless connection to any function, language, or framework in It is categorized under ai ml, developer tools.

how to install

You can install AgentRPC in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

AgentRPC is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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

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.