AgentRPC: The Universal RPC Layer for AI Agents

Connect functions across languages and networks with a unified interface, enabling seamless integration for AI agents.

Unlocking Cross-Platform AI Agent Capabilities

AgentRPC is a groundbreaking solution designed to bridge the gap between AI agents and the diverse ecosystem of functions and services that power them. It provides a universal Remote Procedure Call (RPC) layer, enabling AI agents to seamlessly interact with functions written in any language and deployed across any network boundary. This is particularly crucial in complex environments where services reside in private Virtual Private Clouds (VPCs), Kubernetes clusters, or multi-cloud deployments.

Core Functionality

AgentRPC operates by wrapping your existing functions within a standardized RPC interface. This interface is then connected to a hosted RPC server, accessible through industry-standard protocols:

• Model Context Protocol (MCP): A cutting-edge protocol for providing AI models with the contextual information they need to perform effectively.
• OpenAI-compatible tool definitions: Ensuring compatibility with a wide range of AI agent platforms, including OpenAI, Anthropic, LiteLLM, and OpenRouter.

The AgentRPC Workflow

1. Function Registration: Utilize the AgentRPC SDK to register your functions and APIs, regardless of the programming language they are written in.
2. Platform Management: The AgentRPC platform (api.agentrpc.com) automatically registers your functions and continuously monitors their health and availability.
3. Universal Access: Gain access to OpenAPI SDK-compatible tool definitions and a hosted MCP server, enabling seamless integration with compatible AI agents.

Key Advantages

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