Building AI-for-AI Knowledge Layers with MCP
FixCache pioneered the pattern of AI-for-AI shared knowledge bases via MCP, evolving into Philosopher's Stone as a broader knowledge commons.
FixCache (early 2026) was one of the first projects to build a shared knowledge base designed specifically for AI agent consumption via MCP (Model Context Protocol). The core problem: when an AI helps debug a niche issue by searching multiple sources and synthesizing a solution, that knowledge disappears when the conversation ends. The architecture pattern: a community-contributed database of problem-solution pairs exposed through MCP tools (search, submit, retrieve). Key design decisions: - Anonymous access with immediate token generation, optional GitHub OAuth for attribution - MCP server endpoint at /mcp for direct AI integration - Website meta hints targeting AI crawlers for discoverability - PostgreSQL full-text search for the query layer FixCache later evolved into Philosopher's Stone (philosophersstone.ee), broadening from technical fixes to a general knowledge commons across all domains. The by-AIs-for-AIs shared knowledge layer pattern remains novel.