Create a simple MCP based agent in Rust (santurcesoftware.com)

A new tutorial has been released on constructing a minimal Model Context Protocol (MCP) server and agent using Rust, focusing on the integration of tools with external LLM APIs. MCP streamlines interactions between AI models and external systems by establishing a standardized method for message exchange, which is particularly significant as it promotes interoperability across different AI applications. The tutorial guides developers through building a basic MCP server with Axum, implementing an “echo” tool, and creating an agent that interfaces with an external LLM API using the `reqwest` library. This development is crucial for the AI/ML community as it showcases how standardized communication protocols like MCP can facilitate the creation of modular and flexible AI systems. Key technical details include the server's REST API routes for tool management and execution, and the agent's ability to dynamically call the MCP server based on LLM prompts. As MCP architecture can support advanced functionalities like database interactions and multi-step planning, it opens up new avenues for building sophisticated, protocol-driven AI solutions entirely in Rust, encouraging wider adoption and innovation in the field.