AgentRPC
@agentrpc
About AgentRPC
A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentrpc": {
"command": "npx",
"args": [
"agentrpc",
"mcp"
],
"env": {
"ANGENTRPC_API_SECRET": "YOUR_API_SECRET"
}
}
}
}Tools
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Overview
What is 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 the Model Context Protocol (MCP) and OpenAI-compatible tool definitions. It is ideal for services deployed in private VPCs, Kubernetes clusters, or multiple cloud environments.
How to use AgentRPC?
Install the AgentRPC SDK for your language (TypeScript, Go, Python, .NET coming soon), register your functions, then launch the MCP server with AGENTRPC_API_SECRET=YOUR_API_SECRET npx agentrpc mcp. Integrate with Claude Desktop or Cursor by adding the server configuration to their respective JSON config files.
Key features of AgentRPC
- Multi-language support (TypeScript, Go, Python, .NET coming soon)
- Private network support with no open ports required
- Long-running functions via long polling SDKs
- Full observability with tracing, metrics, and events
- Automatic failover and intelligent health tracking
- Framework compatibility with MCP and OpenAI SDK agents
Use cases of AgentRPC
- Connect AI agents to services running in private VPCs
- Orchestrate functions across Kubernetes clusters
- Integrate tools from multiple cloud environments
- Execute long-running functions beyond HTTP timeout limits
FAQ from AgentRPC
What languages does AgentRPC support?
AgentRPC supports TypeScript, Go, and Python, with .NET support coming soon.
How does AgentRPC handle private networks?
AgentRPC uses long polling SDKs that require no open ports, allowing functions in private VPCs to be registered and called securely.
What protocols does AgentRPC support?
AgentRPC supports the Model Context Protocol (MCP) and OpenAI-compatible tool definitions, making it compatible with OpenAI, Anthropic, LiteLLM, OpenRouter, and similar agents.
How do I get started with AgentRPC?
Follow the quick start guide on the AgentRPC documentation site (docs.agentrpc.com/quickstart) and explore working examples in the examples directory.
Is AgentRPC open source?
Yes, AgentRPC is licensed under the Apache License 2.0. The repository contains all open-source components and SDKs.
Frequently asked questions
What languages does AgentRPC support?
AgentRPC supports TypeScript, Go, and Python, with .NET support coming soon.
How does AgentRPC handle private networks?
AgentRPC uses long polling SDKs that require no open ports, allowing functions in private VPCs to be registered and called securely.
What protocols does AgentRPC support?
AgentRPC supports the Model Context Protocol (MCP) and OpenAI-compatible tool definitions, making it compatible with OpenAI, Anthropic, LiteLLM, OpenRouter, and similar agents.
How do I get started with AgentRPC?
Follow the quick start guide on the AgentRPC documentation site (docs.agentrpc.com/quickstart) and explore working examples in the examples directory.
Is AgentRPC open source?
Yes, AgentRPC is licensed under the Apache License 2.0. The repository contains all open-source components and SDKs.
Basic information
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