๐Ÿš€ Build an MCP Server from Scratch with FastAPI & WebSockets + Client AI agent with text-to-sql ๐Ÿ˜Žโœจ

The Gradient Path ยท Intermediate ยท๐Ÿ“Š Data Analytics & Business Intelligence ยท1y ago
In this epic tutorial, weโ€™ll guide you through every step of creating a ๐Ÿ”ฅ Model Context Protocol (MCP) server using FastAPI, WebSockets, Pydantic, and async/await in Python. Whether youโ€™re building intelligent agents, real-time apps, or just geeking out on custom protocols, this video has everything you need! ๐Ÿค–๐Ÿ’ฌ Resources & Code: ๐Ÿ”— GitHub Repo: https://github.com/samugit83/TheGradientPath/tree/master/MCPFromScratch What Youโ€™ll Learn: ๐ŸŽฏ MCP Fundamentals: Discover why a custom Model Context Protocol is the secret sauce for AI-driven clients, and how it standardizes communication between your Python agent and server. ๐Ÿ—‚๏ธ Project Structure Deep Dive: Explore the MCPFromScratch repo layoutโ€”separating server ๐Ÿ“ฆ vs. client ๐Ÿค– logicโ€”and learn why modular tools, prompts, and resources keep your code clean and extensible. โšก FastAPI Setup & Lifespan Management: Use an asynccontextmanager to manage your applicationโ€™s lifespan: automatically connect to SQLite and initialize your in-memory key-store on startup, and cleanly tear down on shutdown. Dual-Mode Operation: Your server will handle both HTTP REST requests (for health checks, tool/prompt listing & HTTP-based calls) and a real-time WebSocket /mcp endpointโ€”giving you the flexibility to choose the communication style that fits your use case. ๐Ÿ› ๏ธ Registering Server Capabilities: Tools: Define callable functions (e.g., math ops, text-to-SQL converters). Prompts: Create LLM templates (summaries, translations). Resources: Expose URI-style data endpoints (user profiles, configs). Invocation Endpoints: Execute these capabilities via RESTful HTTP or over the WebSocket channel. ๐Ÿ›ก๏ธ Security & Quotas: API-Key Authentication: All HTTP endpoints and every WebSocket connection validate X-API-Key headers to ensure only authorized clients connect. Request Quota Management: Track and enforce per-key usage limits with your in-memory key store to prevent abuse and ensure fair access. ๐Ÿ“ Protocol with Pydantic: Build rock-
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