Connect to any function, any language, across network boundaries using AgentRPC.
Universal RPC layer for AI agents across network boundaries and languages
AgentRPC allows you to connect to any function, in any language, across network boundaries. It's ideal when you have services deployed in:
AgentRPC wraps your functions in a universal RPC interface, connecting them to a hosted RPC server accessible through open standards:
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 |
Follow the quick start example on our docs site.
Explore working examples in the examples directory.
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.
Add to your claude_desktop_config.json
:
{
"mcpServers": {
"agentrpc": {
"command": "npx",
"args": [
"-y",
"agentrpc",
"mcp"
],
"env": {
"AGENTRPC_API_SECRET": "<YOUR_API_SECRET>"
}
}
}
}
Add to your ~/.cursor/mcp.json
:
{
"mcpServers": {
"agentrpc": {
"command": "npx",
"args": ["-y", "agentrpc", "mcp"],
"env": {
"AGENTRPC_API_SECRET": "<YOUR_API_SECRET>"
}
}
}
}
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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