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.
A MCP server for the Open Library API that enables AI assistants to search for book information.
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
Quality signal
37/100 (Emerging)
41/100 (Fair)
Install path
npx · high
pip · high
Engagement
5 0 0 88
1 0 0 1
Tools
Search books by title with structured resultsSearch authors by name with metadataGet detailed author info by Open Library keyGet author photo URLs by OLIDGet book cover URLs via ISBN, OCLC, LCCN, OLID, or IDRetrieve book details by various identifiers
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
