AgentRPC
Connect to any function, any language, across network boundaries using AgentRPC.
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Overview
> 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: - 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.)
Installation
Installation instructions are not available yet.
Configuration
{
"mcpServers": {
"agentrpc": {
"command": "npx",
"args": [
"-y",
"agentrpc",
"mcp"
],
"env": {
"AGENTRPC_API_SECRET": "<YOUR_API_SECRET>"
}
}Capabilities
- Invoke registered functions across languages
Ask your assistant to call a function you registered via the AgentRPC SDK, regardless of the language it’s written in.
- Connect to tools inside private networks
Let your assistant interact with functions running in a private VPC or Kubernetes cluster without opening inbound ports.
- Run long-running operations
Trigger function calls that exceed typical HTTP timeouts using the platform’s long-polling support.
- Access tools via hosted MCP
Point your assistant to the hosted MCP server (`npx agentrpc mcp`) to discover and use all your registered tools.
Tags
- communication
- productivity
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