Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Search the Archive of Our Own (AO3) and delegate full-fic reading to a secondary model (Gemini), so the agent recommends from the actual text, not the author's blurb. pip install ao3-mcp
MCP server to interact with the Discogs API
Quality signal
41/100 (Fair)
32/100 (Emerging)
Install path
pip · high
npx · high
Engagement
1 0 0 1
1 0 0 117
Tools
Search AO3 with fandom, ship, character, rating, word count, completion, and sorting filtersFuzzy input resolution to canonical AO3 tags and namesRead 1–20 full fanfics per call using Gemini model for detailed structured reportsCache downloaded fics locally for 24 hours to reduce repeated AO3 requestsThrottle requests to AO3 respecting politeness and Cloudflare restrictionsSupports configurable Gemini API key and model selection
Supports Discogs API endpoints for catalog and collectionEnables editing of personal Discogs collection dataConfigurable pagination with default page size of 5Runs locally with Node.js or in Docker containersIncludes MCP Inspector for interactive testing
