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Ever wished your Python applications could have the raw speed and performance of Rust without giving up Python's simplicity? The great news is, you can have both! In this step-by-step walkthrough, I'll show you how to combine Python and Rust to build a high-performance Model Context Protocol (MCP) server for an AI agent. We'll take a CPU-heavy task—diffing strings—write it in Rust for maximum speed, and then seamlessly integrate it into a Python application using tools like PyO3 and Maturin. ➡️ Read the full step-by-step article on the Google Cloud Community Blog on Medium: https://medium.com/google-cloud/python-and-rust-interoperability-a-walkthrough-for-building-a-high-performance-mcp-server-56c04e4b651b 💻 Get all the code from the GitHub repository: https://github.com/kweinmeister/fast-diff-mcp 🕒 TIMESTAMPS / CHAPTERS: 00:00 - Introduction: The Best of Both Worlds with Python & Rust 00:32 - Project Setup with Maturin 02:17 - Setting Up the Python Virtual Environment & Dependencies 04:38 - Adding Rust Dependencies with Cargo 05:34 - Writing the High-Performance Rust Logic 06:36 - Building, Compiling, and Testing the Rust Module 08:27 - Integrating with Python: Creating the MCP Server 10:52 - Running the Server & Testing with cURL 12:35 - Final Thoughts & Conclusion 💡 In this tutorial, you will learn how to: * Set up a project that supports both Python and Rust code. * Use Maturin to compile Rust into a Python-importable module. * Leverage PyO3 to create seamless bindings between the two languages. * Write a high-performance Rust function and expose it to Python. * Build a functional MCP server (fastmcp) that uses our Rust code as a tool. * See the real-world performance benefits of offloading compute-intensive tasks to Rust. This video is perfect for Python developers looking to boost performance, Rust developers interested in the Python ecosystem, or anyone building powerful and efficient AI agents. Stop choosing between speed of development and speed of execution—let's get them working together! #Python #Rust #AI #ProgrammingTutorial #GoogleCloud #MCP #PerformanceOptimization