From AI Solutions to Shared Knowledge: Building an MCP for the Community

This is a submission for the Weekend Challenge: Generosity Edition Don't Just Ask AI. Give the Answer Back. AI is a real force multiplier for software development. It's also the ideal companion for solving technical problems fast. But all that knowledge — we keep it to ourselves. Or rather, we lose it. The story always stops there. Question → answer → problem solved — and the conversation sinks into the chat history, gone. Then someone else hits the exact same wall. Same cycle: question → answer → problem solved — and the conversation sinks into the chat history, gone. That's the problem. Not that AI can't solve the same issue twice — it's that a working solution already exists somewhere: someone already investigated, tested, found the fix, and had a conversation detailed enough to explain it properly. Why should that knowledge evaporate the moment the session ends? Why keep asking the same question over and over — burning electricity, water, and time that's already been spent — instead of recycling that raw material? That's the idea behind Shared Knowledge MCP . What I Built Shared Knowledge is an MCP server that turns a solution from an AI conversation into a proposed Markdown article, then into a GitHub Pull Request submitted for human review. Once merged, the contribution is published to a documentation site and gets an audio version generated with ElevenLabs. The project turns a solved problem into a reusable piece of community knowledge — but only when the user makes the explicit decision to share it. The conversation itself stays strictly private. The MCP server extracts only the relevant solution, structures it as a standalone English Markdown article, validates it, and opens a Pull Request on GitHub. Nothing gets published automatically. A human reviews the contribution and decides whether it belongs in the shared knowledge base. Only once the PR is merged does the article land on the public documentation site, which in turn kicks off its audio version. The