How I Built 65+ AI Tools on a Raspberry Pi 5

There's a gap in the MCP ecosystem that bothered me. If you want to give your AI coding assistant access to tools — web scraping, research, translation, agent memory — you either build everything yourself or cobble together a dozen different services. I wanted one MCP server that handled all of it. So I built AiPayGen: 65+ tools, installable with pip install aipaygen-mcp, running on a Raspberry Pi 5 sitting on my desk. Why I built it MCP (Model Context Protocol) is how AI assistants like Claude Code, Cursor, and Cline access external tools. The protocol is solid, but the tool ecosystem is fragmented. Most MCP servers offer one thing — a file reader, a web search wrapper, a database connector. If you want a full toolkit, you're managing ten different MCP servers. I wanted a single pip install that gives an AI assistant access to research, writing, code generation, web scraping, data feeds, agent memory, and workflow orchestration. One server, one API key, one bill. The architecture The