AgentRPC

AgentRPC is a server designed to bridge the gap between AI agents and functions written in any language, accessible over network boundaries. It provides a standardized way for agents to invoke remote functions, eliminating the need for language-specific integrations. The tool is particularly useful in heterogeneous environments where systems are built using multiple programming languages.

Within the MCP ecosystem, AgentRPC serves as a modular component that enables AI agents to interact with external systems. It fits into scenarios where agents need to execute code that isn’t natively supported in their runtime environment. The server abstracts away the complexity of cross-language and cross-network communication.

Developers working with polyglot systems or distributed AI agents would benefit from AgentRPC. It reduces the friction of integrating diverse codebases and allows agents to leverage existing functionality regardless of implementation language. The tool is community-maintained, with its source available for inspection and modification.