AgentRPC
FreeAgentRPC 官方集成，跨网络边界连接任何语言的任何函数。
FreeFree tier
About AgentRPC
AgentRPC is a universal RPC layer for AI agents that allows connecting to any function, in any language, across network boundaries. It wraps functions in a universal RPC interface and connects them to a hosted RPC server accessible through Model Context Protocol (MCP) and OpenAI-compatible tool definitions. It supports multi-language (TypeScript, Go, Python, .NET coming), private network support (no open ports required), long-running functions beyond HTTP timeouts, full observability with tracing and metrics, automatic failover, and compatibility with MCP and OpenAI SDK frameworks. Designed for services in private VPCs, Kubernetes clusters, and multi-cloud environments.
Key Features
Multi-language support (TypeScript, Go, Python, .NET coming soon)
Private network support: register functions in VPCs with no open ports required
Long-running functions: long polling SDKs allow calls beyond HTTP timeout limits
Full observability: comprehensive tracing, metrics, and events
Automatic failover: intelligent health tracking with failover and retries
Framework compatibility: out-of-the-box support for MCP and OpenAI SDK compatible agents
Pros & Cons
Pros
- Supports any language via SDKs (TypeScript, Go, Python)
- No need to open ports on private networks
- Handles long-running functions beyond typical HTTP timeouts
- Comprehensive observability for debugging and monitoring
- Automatic failover and retries improve reliability
- Compatible with major AI agent frameworks (MCP, OpenAI SDK)
Cons
- Relies on external hosted platform (api.agentrpc.com) for RPC server
- Limited language support currently (no .NET yet, no Java/Rust)
- Early-stage project with small community (133 stars on GitHub)
- Potential latency from cloud-based RPC routing
Best For
Connecting AI agents to backend services in private VPCsExposing functions from Kubernetes clusters to AI agentsIntegrating multi-language microservices with AI agentsBuilding MCP-compatible tool servers for AI models like Claude Desktop or Cursor
FAQ
What is AgentRPC?
AgentRPC is a universal RPC layer for AI agents that allows connecting to any function, in any language, across network boundaries.
How does AgentRPC work?
You register functions using our SDKs. The AgentRPC platform registers the function and monitors its health. Then you receive OpenAPI/SDK-compatible tool definitions and a hosted MCP server for connecting to compatible agents.
Is AgentRPC open source?
Yes, the AgentRPC SDKs and components in this repository are licensed under Apache 2.0.
What languages are supported?
Currently TypeScript, Go, and Python. .NET support is coming soon.
How do I get started?
Follow the quick start example on the docs site at docs.agentrpc.com.