Build a production-ready MCP server with Python and FastAP

This guide details how to build a Model Context Protocol (MCP) server, starting from a simple script and progressing to a fully Dockerized, authenticated, and tested service. The server, named toolhub, will expose tools for actions, resources for data, and prompts for reusable templates. It integrates with AI applications like Claude Desktop, VS Code, and Cursor, utilizing Python with the MCP SDK and FastAPI. The architecture includes structured logging, authentication, configuration, testing, and CI/CD. AI

IMPACT Provides a practical guide for developers to integrate AI models with external tools and data, enhancing application capabilities.

RANK_REASON The article describes a technical guide for building a specific software tool (an MCP server) rather than a new model release or significant industry event.

Read on dev.to — MCP tag →

• Anthropic
• AWS
• Claude Desktop
• Cursor
• Docker
• FastMCP API
• GitHub Actions
• Google
• JSON-RPC 2.0
• MCP SDK
• Microsoft
• Model Context Protocol (MCP)
• OpenAI
• Prometheus
• Python
• VS Code

• product
• infra

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