I'm excited to share a project I've been working on: MCPR, a complete Rust implementation of Anthropic's Model Context Protocol. Building this out was a fascinating journey that took me back to my earlier days working with distributed systems. The Model Context Protocol reminded me a lot of CORBA and DCOM from the past—these were technologies that tried to solve similar problems of standardizing communication between distributed components. For those unfamiliar, MCP is an open standard for connecting AI assistants to data sources and tools. It's essentially a JSON-RPC-based protocol that enables LLMs to interact with external tools and data in a standardized way.

What MCPR provides:

• A complete Rust implementation of the MCP schema

• Tools for generating server and client stubs

• Transport layer implementations for different communication methods

• CLI utilities for working with MCP

• Comprehensive examples demonstrating various MCP use cases

The project is now available https://github.com/conikeec/mcpr and https://crates.io/crates/mcpr

What's interesting is how MCP feels like a modern evolution of those earlier distributed object models, but specifically tailored for the AI era. While CORBA and DCOM were designed for general distributed computing, MCP is more focused on the interaction between LLMs and tools/data sources.

If you're working with AI assistants and looking to integrate them with external tools, I'd love to hear your thoughts on this implementation. And if you're a Rust developer interested in AI integration, feel free to check out the project, provide feedback, or contribute ...