Programming Tutorials

  The release of the Model Context Protocol (MCP) by Anthropic has fundamentally changed how we integrate LLMs into local development environments. While Claude is exceptionally capable at reasoning, it is architecturally isolated from your local data—your internal APIs, SQLite databases, and local log files. Developers attempting to bridge this gap often hit a wall of complexity: managing JSON-RPC handshakes, defining schemas manually, and handling transport layers. If you are struggling with the boilerplate required to connect Claude Desktop to your local tools, you are not alone. This guide provides a rigorous, production-ready implementation of a custom MCP server using Python. We will build a  Secure SQLite Inspector  that allows Claude to safely query and analyze a local database directly from the chat interface. The Root Cause: Why Simple Scripts Don't Work Before writing code, it is critical to understand why standard Python scripts fail to interact with Claude De...