AgentRPC: Seamless Connectivity & Scalable Innovation

AgentRPC empowers AI agents to seamlessly connect any function, language, or network via universal RPC and MCP standards—unleashing scalable innovation effortlessly! 🚀" )

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About AgentRPC

What is AgentRPC: Seamless Connectivity & Scalable Innovation?

AgentRPC is a universal RPC framework enabling AI agents to seamlessly interact with functions across language barriers and network boundaries. Designed for distributed systems, it connects resources in private VPCs, Kubernetes clusters, and multi-cloud environments through standardized protocols like MCP and OpenAI tool definitions. This eliminates the need for open ports or complex configuration, delivering enterprise-grade reliability and scalability.

How to Use AgentRPC: Seamless Connectivity & Scalable Innovation?

Adopt AgentRPC in three straightforward steps:

Register functions using our SDKs for Go, Node.js, Python, or upcoming .NET support
Manage through the centralized platform (api.agentrpc.com) for health monitoring and failover
Access via OpenAPI-compliant tool definitions or MCP servers for agent integration

AgentRPC Features

Key Features of AgentRPC: Seamless Connectivity & Scalable Innovation?

Stand out with:

Zero-Port Architecture: Deploy functions in private networks without exposing endpoints
Long-Running Workflows: Maintain state across extended operations beyond traditional HTTP limits
Intelligent Resilience: Auto-retry mechanisms and real-time health checks ensure uptime
Vendor Agnostic: Works with OpenAI, Anthropic, and any MCP-compliant toolchain

Use Cases of AgentRPC: Seamless Connectivity & Scalable Innovation?

Optimize complex environments like:

Hybrid cloud orchestration across AWS/Azure/GCP
Legacy system integration with modern AI agents
Serverless function scaling for variable workloads
Multi-tenant SaaS platforms requiring strict isolation

AgentRPC FAQ

FAQ from AgentRPC: Seamless Connectivity & Scalable Innovation?

Q: How do I secure my private functions?
A: AgentRPC uses mutual TLS and API secrets, with optional VPC peering for maximum isolation.

Q: Can I monitor performance?
A: Full tracing capabilities integrate with Jaeger, Prometheus, and Grafana out-of-the-box.

Q: What languages are supported?
A: Native SDKs for Go, Node.js, Python with .NET coming Q3 2024. Any language可通过HTTP adapter使用.

Content

AgentRPC

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

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.)

deployment

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 Installation

Get your API key
Choose your preferred SDK:
* Go SDK
* Node.js SDK
* Python SDK
Explore working examples in the examples directory

Integration Guides

MCP Server

The AgentRPC TypeScript SDK includes an 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.

For more details on MCP, visit Model Context Protocol.

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>"
      }
    }
  }
}