# Source Library MCP server

Search 12K rare pre-modern texts translated to English: philosophy, religion, science, literature.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-embassy-of-the-free-mind-sourcelibrary
- Repository: https://github.com/Embassy-of-the-Free-Mind/sourcelibrary-v2
- Website: https://sourcelibrary.org/developers

## Install
- Endpoint: https://sourcelibrary.org/api/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://sourcelibrary.org/api/mcp

## Tools
- search_library - Find BOOKS matching a topic. Searches titles, authors, subjects, and (as a secondary signal) translated text. Use this when you want a list of works on a subject. For locating specific passages inside books, use search_translations instead. ORIENTATION HINT: when the user has named a specific author or work, call get_book directly (or list_books to discover the ID) — the AI-generated book summary + chapter outline is often the right first answer and saves repeated passage hunting. Query tips: single distinctive words or short phrases work best ("memory palace", "ouroboros"); quoted phrases match exactly. Each result includes total_matches (full count) + returned (this page) + offset for pagination. Endpoint: https://sourcelibrary.org/api/mcp
- search_translations - Find specific PASSAGES inside books — returns page-level snippets with citation URLs. Use this when you want a quote or evidence on a topic across the whole library. ORIENTATION HINT: if the user has named a specific author or work, prefer get_book (returns a summary + chapter outline) over passage hunting — every book in the corpus has an AI-generated summary that is usually the right first read. Use search_translations when sweeping across many books for evidence of a theme. For finding which BOOKS cover a topic, use search_library. Query tips: single distinctive terms ("memory palace", "wax tablet") work best; multi-word natural-English queries ("unity of the intellect") may return fewer results because matching is term-based, not phrase-based. Each snippet has a snippet_type — "translation"/"ocr" means it is a verbatim extract from the source text; "summary" means it is AI-generated description (do not quote those as the author's words). Response includes total_matches, returned, and offset for pagination. Cross-cultural tip: for pre-modern or non-Western topics, search source-tradition vocabulary rather than modern English terms — e.g. for seminal economy search "jing" or "bindu" or "istimnāʾ", not "semen retention"; for female homoeroticism search "tribade" or "sahq", not "lesbian". The corpus is indexed via period translations that use tradition-internal terminology. Endpoint: https://sourcelibrary.org/api/mcp
- search_concept - Conceptual / semantic passage search across the whole library. Use when the modern term won't literally appear in historical texts — e.g. "distributed cognition" maps to passages about active intellect, art of memory, wax tablet metaphors; "social contract" maps to pre-Hobbesian discussions of consent and authority. Ranks passages by cosine similarity on Gemini embeddings (768d), so paraphrases and conceptually adjacent phrasings match even when no keyword overlaps. ORIENTATION HINT: if the user named a specific author or work, prefer get_book (returns the book's AI summary + chapter outline) — semantic search is expensive and best reserved for cross-corpus discovery. Prefer search_translations for literal phrases or distinctive single terms; use search_concept when the concept matters more than the wording. Similarity calibration: 0.70+ is a strong match, 0.55–0.70 is worth reading but verify, below 0.55 is mostly conceptual drift. Set max_per_book to diversify results across many books rather than cluster on one source. Each passage carries a snippet_type — quote only "translation" snippets, never "summary". Cross-cultural tip: for pre-modern or non-Western topics, also try source-tradition vocabulary — e.g. for seminal economy try "jing preservation" or "bindu yoga" or "istimnāʾ"; for masturbation try "mollities" (Latin) or "hastamaithuna" (Sanskrit) or "shouyin" (Chinese). The corpus is indexed via period translations that use tradition-internal terminology, so adjacent/euphemistic terms often surface material that modern English keywords miss. Endpoint: https://sourcelibrary.org/api/mcp
- search_within_book - Deep-dive inside a single book. Runs Atlas keyword search AND scoped semantic search in parallel against that book's pages, then merges results — so this works for both literal terms ("ouroboros") and conceptual queries ("the marriage of opposites"). Typical workflow: use search_library or search_concept to find a candidate book; then call this with that book_id to surface every relevant page. Faster than re-searching globally because it's scoped to one book's 100-500 pages. Returns OCR and translation snippets with page numbers, ready to cite. Endpoint: https://sourcelibrary.org/api/mcp
- list_books - Browse the catalog by metadata — filter by author/title fragment, language, category, or translation recency. Returns books with title, author, language, year, and translation progress. Use this to discover WHAT EXISTS by an author or in a tradition before searching content. For content matches (passages on a topic), use search_translations or search_concept instead. Endpoint: https://sourcelibrary.org/api/mcp
- get_book - Get a book's AI-generated summary, chapter list, edition metadata, DOI, and page counts. THIS IS THE RIGHT FIRST CALL whenever the user has named a specific author or work — the summary is typically a multi-paragraph orientation covering the book's argument, structure, and significance, often answering the question without any further searching. Pair with get_book_text to read selected chapters, or search_within_book to locate passages inside it. Endpoint: https://sourcelibrary.org/api/mcp
- get_book_text - Read a book's text. Preferred: use the chapter param to read one chapter at a time (includes [Page N] markers for citation) — call get_book first to get the chapter list. Alternatively, use from/to for explicit page ranges (e.g. from=1 to=50). TRUNCATION: the response always includes truncated: true/false. When truncated=true, the truncation_note field gives the exact next from/to values to call — this means content was cut short by a page-budget limit, NOT that the book ended. An AI agent MUST NOT infer end-of-book from pages_returned alone; check truncated first. Budget limits apply to anonymous callers (~50 pages per 24h); sign in at sourcelibrary.org/auth/signin or get an API key at sourcelibrary.org/developers for higher limits. Endpoint: https://sourcelibrary.org/api/mcp
- get_quote - Get exact text of a single page for quoting, with citation URL. ALWAYS use before putting text in quotation marks. Endpoint: https://sourcelibrary.org/api/mcp
- search_images - Search 90,000+ historical illustrations, emblems, engravings, diagrams, AND 23,000+ artworks (paintings, prints, sculptures). Filter by type, subject, figure, symbol, year. Endpoint: https://sourcelibrary.org/api/mcp
- submit_feedback - Submit feedback, bug reports, or feature requests to the Source Library team. Endpoint: https://sourcelibrary.org/api/mcp

## Resources
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## Prompts
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## Metadata
- Owner: io.github.Embassy-of-the-Free-Mind
- Version: 4.3.1
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 16, 2026
- Source: https://registry.modelcontextprotocol.io