I Built 3 MCP Servers for AI A... Note

I Built 3 MCP Servers for AI Agents — Here's How They Work

MCP servers provide a unified interface for AI agents to access external tools and data. These servers act like a universal connector, similar to USB-C for AI. Three production-ready MCP servers are available for use. The first is a Web Search server with tools for searching Google and extracting content from URLs. This server is useful for real-time fact-checking and research. A Code Review Automation server offers tools to analyze code for bugs and security issues. It can also generate structured reviews for code changes. The third server focuses on Document Intelligence, enabling OCR, text extraction, and summarization of various document types. All these servers operate on a shared credit system, offering a free tier and paid plans. These credits are purchased once and can be used across any of the MCP servers. The system is built using Python and FastAPI, with authentication handled by a Gumroad license key. The billing backend is also open source and self-hosted.