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

A developer built and published three production-ready MCP servers to PyPI and GitHub: crewai-web-search-mcp, code-review-automation, and document-intelligence-server. The servers enable AI agents to perform web searches, automated code reviews, and document processing through a unified interface. A shared credit system offers free and paid tiers, with the billing backend open-sourced on GitHub.

The Model Context Protocol MCP is an open standard that lets AI agents use external tools through a unified interface. Think of it as USB-C for AI — one protocol connects any AI client Claude Desktop, Cursor, VS Code with Cline to any tool or data source. I built three production-ready MCP servers and published them to PyPI and GitHub. Here's what they do and how to use them. uvx crewai-web-search-mcp Two tools: Use cases: Ask your AI about current events, research competitors, pull documentation, verify facts in real time. { "mcpServers": { "web-search": { "command": "uvx", "args": "crewai-web-search-mcp" } } } uvx code-review-automation Three tools: Use cases: Paste a PR diff and get an instant review. Catch issues before they reach production. uvx document-intelligence-server Three tools: Use cases: Process uploaded PDFs, extract data from scanned forms, summarize long reports. All three servers use a shared credit system: | Tier | Price | Credits | |---|---|---| | Free | $0 | 50 calls/day | | Starter | $20 | 2,000 calls | | Pro | $100 | 12,000 calls | Buy credits once, use them across any server. Credits never expire. How it works: uvx crewai-web-search-mcp MCP LICENSE KEY → all limits removedThe billing backend is open source too: github.com/KennyWayn3/mcp-billing-api https://github.com/KennyWayn3/mcp-billing-api pip install crewai-web-search-mcp What MCP servers would you like to see built next? I'm curious what the community actually needs.