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io.github.Embassy-of-the-Free-Mind/source-library MCP Server

io.github.Embassy-of-the-Free-Mind/source-library

Search 22,000+ rare pre-modern texts with AI translations, summaries, and 73K+ images.

What is the io.github.Embassy-of-the-Free-Mind/source-library MCP server?

The Source Library MCP server provides AI-powered access to a digital library of 22,000+ historical primary sources spanning alchemy, Hermetica, Kabbalah, and early modern science. It enables semantic search, full-text queries, quote generation with DOI citations, and retrieval of AI-enhanced translations and scholarly metadata. The server integrates with Claude and other AI agents to surface rare texts, illustrations, and curated collections for research and discovery.

Source Library is a scholarly digital archive specializing in pre-modern and early printed texts with AI-aided OCR, translation, and curation. It ingests ~15K pages monthly from Internet Archive, Gallica, and other heritage partners, processing them through a pipeline of split detection, high-accuracy OCR in multiple languages, context-aware translation, and illustration extraction. Researchers and AI agents can search across 22,000+ texts, retrieve citable passages with DOI links, browse 73K+ curated images, and access themed collections—all with full-text and semantic search capabilities.

How to install io.github.Embassy-of-the-Free-Mind/source-library

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "source-library": {
      "command": "npx",
      "args": [
        "-y",
        "@source-library/mcp-server"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • search — Full-text and semantic search across OCR'd texts and AI translations
  • book_metadata — Retrieve bibliographic data, USTC alignment, edition tracking, and scholarly metadata for any book
  • quote_generation — Extract and cite passages with DOI links, formatted in multiple citation styles (inline, footnote, BibTeX)
  • page_read — Access individual page content including original image, OCR text, and English translation
  • gallery_search — Search and browse 73K+ extracted illustrations with subject, figure, symbol, and style metadata
  • collection_browse — Explore themed editorial collections (e.g., Alchemy & Transmutation, Kabbalah & Mysticism)
  • tenant_catalog — Access partner subdomain catalogues (e.g., Bibliotheca Philosophica Hermetica) with custom curation and branding

Use cases

  • Search for obscure alchemical texts and retrieve AI-translated passages with scholarly citations
  • Extract and analyze illustrations from rare books for art historical research or visual pattern discovery
  • Retrieve citable quotes from pre-modern sources with DOI links for academic papers and presentations
  • Browse curated collections on specialized topics (Rosicrucianism, Kabbalah, early science) to discover overlooked texts
  • Access partner institutional reading rooms (e.g., BPH) to explore carefully curated subsets with custom metadata

io.github.Embassy-of-the-Free-Mind/source-library MCP server FAQ

What is the Source Library MCP server?

It's an MCP integration that gives Claude and other AI agents access to a 22,000+ text digital library of rare pre-modern sources with AI translations, OCR, 73K+ images, and scholarly metadata. You can search, retrieve citable quotes, browse illustrations, and explore curated collections.

Is Source Library free to use?

Yes. The public API and MCP server are free. The library is open-access and AGPL v3 licensed. Donations and institutional partnerships support ongoing digitization and curation.

How do I install this in Cursor or Claude?

Install via npm: `npm install @source-library/mcp-server`. Then configure your MCP settings to point to the server. See the repository's mcp-server/README.md for detailed setup instructions.

Do I need an API key or authentication?

No. All public read endpoints (search, book metadata, quotes, gallery, collections) require no authentication. Internal processing endpoints (batch OCR, translation) require editor credentials, but the MCP server exposes only public-facing tools.

What languages are supported?

The library specializes in pre-modern texts in Latin, German, Greek, Arabic, and other historical languages. AI translation to English is available for most texts. OCR is language-specific and optimized per source.

Can I export or cite passages?

Yes. The quote endpoint generates citable passages with DOI links, formatted in multiple styles (inline, footnote, BibTeX). EPUB and PDF export are available through the web interface; the MCP server provides quote generation and search.

README (reference)

Source of truth, from the repository.

<div align="center"> <img src="./public/logo.svg" alt="Source Library Logo" width="50" height="50" style="display: inline-block; margin-right: 10px; vertical-align: middle;" />

Source Library

A digital library of historical primary sources with AI-aided OCR, translation, and scholarly curation.

License: AGPL v3 Next.js MongoDB Postgres Supabase Gemini API

🌐 Visit Library • 📖 Docs • 🗺️ System Map • 🤝 Contribute

</div>

🎬 Experience Source Library

<div align="center"> <video width="100%" max-width="600" controls poster="https://images.sourcelibrary.org/video/hero-poster.jpg"> <source src="https://images.sourcelibrary.org/video/hero-bg.webm" type="video/webm"> <source src="https://images.sourcelibrary.org/video/hero-bg.mp4" type="video/mp4"> Your browser does not support the video tag. </video>

Explore thousands of digitized historical texts with AI-enhanced translations and scholarly curation.

</div>

🎯 About Source Library

Source Library is an open digital library dedicated to making early printed books and primary sources readable and citable. We specialize in alchemy, Hermetica, Kabbalah, Rosicrucianism, and early modern science—texts that bridge historical scholarship with contemporary exploration.

🌟 Why Source Library?

  • ✨ Originals First — Read the original language text with AI-enhanced translations alongside
  • 🎓 Citable Scholarship — Every book gets a DOI and scholarly metadata (USTC alignment, edition tracking)
  • 🏛️ Partner Subdomains — Institutions like the Bibliotheca Philosophica Hermetica curate reading rooms on their own domains
  • 🔍 Discovery — Collections, galleries of illustrations, and semantic search surface overlooked texts
  • ✅ Rigorous QA — Manual verification, image quality scoring, and OCR validation before publication

The platform ingests ~15K pages monthly from Internet Archive, Gallica, Bodleian, Wellcome, and other digital heritage partners.


🚀 Quick Start

💻 Development Environment

# 🍴 Clone and install
git clone https://github.com/Embassy-of-the-Free-Mind/sourcelibrary-v2.git
cd sourcelibrary-v2
npm install

# ⚙️ Configure environment (see .env.example for required variables)
# Must include: MongoDB Atlas connection, Google Gemini API key, Vercel Blob token

# ▶️ Start dev server
npm run dev

Open http://localhost:3000


📋 Tech Stack

<table> <tr> <td><strong>🎨 Frontend</strong></td> <td>Next.js 16, React 19, TailwindCSS, Lucide icons</td> </tr> <tr> <td><strong>⚙️ Backend</strong></td> <td>Next.js API routes, AWS Lambda for async processing</td> </tr> <tr> <td><strong>💾 Database</strong></td> <td>MongoDB Atlas (primary), Supabase (embeddings)</td> </tr> <tr> <td><strong>🤖 AI/ML</strong></td> <td>Google Gemini 3.1 (OCR, translation, summarization)</td> </tr> <tr> <td><strong>🗂️ Storage</strong></td> <td>Vercel Blob (images), AWS S3 (archive), Cloudflare R2 (archive)</td> </tr> <tr> <td><strong>🔐 Auth</strong></td> <td>NextAuth v5 with MongoDB adapter</td> </tr> <tr> <td><strong>🚀 DevOps</strong></td> <td>Vercel (hosting), GitHub (VCS), Playwright (E2E tests)</td> </tr> <tr> <td><strong>✔️ Testing</strong></td> <td>Vitest (unit/integration), Playwright (E2E)</td> </tr> <tr> <td><strong>🔎 Search</strong></td> <td>PostgreSQL FTS + semantic search via Supabase</td> </tr> </table>

📦 Key Dependencies:

  • sharp — Image resizing and cropping
  • @google/generative-ai — Gemini API integration
  • xml2js — USTC metadata parsing
  • @modelcontextprotocol/sdk — MCP server for agent integration
  • stripe — Donation and subscription handling

📚 Core Features

📖 Reading & Navigation

  • ⚡ Page pagination — Instant navigation between 100+ pages
  • 🔍 Full-text search — Query across OCR'd text and translations
  • 📌 Quote generation — Copy and cite passages with DOI links

🔄 Processing Pipeline

  • 🧩 Smart split detection — Automatic gutter detection for two-page spreads (Gemini AI or ML-based)
  • ✍️ High-accuracy OCR — Gemini Vision API with language-specific models (Latin, German, Greek, Arabic, etc.)
  • 🗣️ Context-aware translation — Maintains continuity across pages for scholarly accuracy
  • 🖼️ Gallery extraction — AI-powered detection and cataloging of illustrations

🎨 Curation & Discovery

  • 📑 Themed collections — Editorial collections (e.g., "Alchemy & Transmutation," "Kabbalah & Mysticism")
  • 🏛️ Gallery browsing — Curated images from all books (museum-quality metadata)
  • 📚 Related editions — Link across translations, reprints, and derivative works
  • 🔗 Authority linking — Connect to USTC, VIAF, and other scholarly databases

📤 Scholarly Export

  • 📱 EPUB generation — Multi-format ebook export
  • 📄 PDF with annotations — Preserve layout, add scholarly notes
  • 🆔 DOI minting — Version books via Zenodo integration for long-term citation

🏢 Tenant Subdomains

  • 🏛️ Isolated reading rooms — Partners host curated subsets on custom domains (e.g., bph.sourcelibrary.org)
  • 🎨 Branding & navigation — Full UI customization per tenant
  • 🔒 Access control — Public or members-only collections

🏗️ Architecture Overview

📊 Data Model

📚 Books contain structured metadata:

  • 🏛️ Bibliographic — Title, author, language, publication date, USTC ID
  • 🖼️ Images — Links to source (Internet Archive, Gallica, etc.), archival status
  • ⚙️ Processing — OCR status, translation language, extraction metadata
  • 🎨 Curation — Collections, tier (featured/standard), visibility flags

📄 Pages store individual page data:

  • 📸 Original image — Source photo or PDF page
  • ✂️ Split coordinates — Crop boundaries (0-1000 scale) for two-page spreads
  • ✍️ OCR output — Raw Gemini extraction + language metadata
  • 🗣️ Translation — English translation with scholarly notes
  • 🖼️ Illustrations — Detected images with quality scores and descriptions

🖼️ Gallery images are extracted illustrations:

  • 🏷️ Metadata — Subject, figures, symbols, style, techniques, period
  • ⭐ Quality score — 0–1.0 rating (filters below 0.5)
  • 🔗 Provenance — Source book and page, linked back

🎨 Image Tier System

All page images are resized on-demand via /api/image:

TierDimensionsQuality📱 Use Case
Thumbnail400px wide70% JPEGGrids, navigation, social sharing
Display1200px wide80% JPEGMain reading view, comfortable for annotation
Full2400px wide90% JPEGMagnifier, fullscreen detail, printing

Split pages are cropped non-destructively via coordinates; original images are always preserved.

🔄 Processing Pipeline

📥 Import → ✂️ Split Detection → ✍️ OCR → 🗣️ Translation → 🎨 Enrichment → 🌍 Publishing
  1. 📥 Import — Upload images, import from IA/Gallica via IIIF, or paste URLs
  2. ✂️ Split Detection — Detect two-page spreads; mark crop boundaries
  3. ✍️ OCR — Gemini Vision extracts text per page language
  4. 🗣️ Translation — Gemini translates to English with prior-page context for continuity
  5. 🎨 Enrichment — Extract illustrations, generate summaries, assign collections
  6. 🌍 Publishing — Set visible: true, mint DOI, push to search index

Batch endpoints process up to 5 pages/request using Gemini Batch API (50% cheaper).

🔌 API Routes (Key)

Base URL: https://sourcelibrary.org (production) or http://localhost:3000 (local dev with .env.local configured).

Common 404 mistake: paths like /api/bph/books or /api/bph/books/[id] do not exist. BPH catalogue APIs live under /api/embed/bph/.... There is also no top-level /api/[tenant]/books route — tenant book listings use /api/books/library or the embed routes below.

Public read APIs (no auth required today)

EndpointMethodPurpose
/api/search?q=<query>GETFull-text search across books and page translations
/api/books?limit=100&offset=0GETSimple book list (global catalogue; visible: true, indexed only)
/api/books/library?limit=100&skip=0GETRich browse API — search, sort, filters, collections
/api/books/[id]GETBook metadata (accepts Mongo id or slug)
/api/books/[id]/quote?page=<n>GETCitable quote + formatted citations (inline, footnote, BibTeX, DOI)
/api/gallery?limit=24GETIllustration / artwork search
/api/image?url=<encoded-url>&w=400GETOn-demand image resize & crop
/api/embed/bph/books?limit=24GETBPH catalogue (paginated, searchable)
/api/embed/bph/books/[slug]GETSingle BPH book detail
/api/embed/bph/featuredGETFeatured BPH books
/api/embed/bph/collectionsGETBPH collection list
/api/embed/bph/languagesGETBPH language facets
/api/embed/bph/suggest?q=alchGETBPH search autocomplete
/api/embed/bph/statsGETBPH catalogue stats

Tenant-scoped listing (not /api/bph/...)

Use one of these patterns to filter by partner tenant (e.g. BPH):

ApproachExample
Embed prefix (recommended for BPH)GET /api/embed/bph/books?limit=24
Library API + query paramGET /api/books/library?tenant_slug=bph&limit=24
Host header (subdomain)Call https://bph.sourcelibrary.org/api/books/library?limit=24 — the proxy injects tenant context
Manual header (advanced)curl -H "x-tenant-slug: bph" https://sourcelibrary.org/api/books/library?limit=24

The /api/[tenant]/books/[id]/... paths that exist in the codebase are editor/processing routes (batch OCR, index rebuild, etc.) — not public catalogue listings.

Authenticated / internal APIs

These require a signed-in session cookie, editor role, or (for some dataset endpoints) a Bearer API key. Calling them without auth returns 401 or 403.

EndpointMethodPurpose
/api/booksPOSTCreate a new book (editor)
/api/books/[id]PATCHUpdate book metadata (curator+)
/api/books/[id]/batch-ocr-asyncPOSTQueue batch OCR job
/api/books/[id]/batch-translate-asyncPOSTQueue batch translation job
/api/pages/[id]PATCHUpdate page OCR/translation
/api/jobs/[id]/processPOSTAsync job processor (Lambda)

Full narrative API walkthrough: docs/blog-source-library-api.md. MCP tools (search, quote, read): mcp-server/README.md.

🧪 Trying the API (curl, Postman, browser)

All examples below hit production and need no API key. Replace the base URL with http://localhost:3000 when running locally (MongoDB + env vars required).

curl

# Search translated text
curl -s "https://sourcelibrary.org/api/search?q=quintessence&limit=5" | jq .

# List books (global catalogue)
curl -s "https://sourcelibrary.org/api/books?limit=5" | jq .

# Browse with filters and sort
curl -s "https://sourcelibrary.org/api/books/library?limit=5&sort=recent-translation&has_translation=true" | jq .

# BPH catalogue — note /api/embed/bph/, NOT /api/bph/
curl -s "https://sourcelibrary.org/api/embed/bph/books?limit=5&translated=true" | jq .

# BPH via tenant_slug on the library endpoint
curl -s "https://sourcelibrary.org/api/books/library?tenant_slug=bph&limit=5" | jq .

# Book metadata (id or slug)
curl -s "https://sourcelibrary.org/api/books/know-thyself-reger-von-ehrenhart" | jq .

# Citable quote for a page
curl -s "https://sourcelibrary.org/api/books/6836f8ee811c8ab472a49e36/quote?page=57" | jq .

# Gallery search
curl -s "https://sourcelibrary.org/api/gallery?subject=alchemy&limit=5" | jq .

Pretty-printing with jq is optional; omit | jq . to see raw JSON.

Postman

  1. Create a new GET request.
  2. Set URL to e.g. https://sourcelibrary.org/api/embed/bph/books
  3. On the Params tab add query keys: limit = 24, sort = title, translated = true
  4. Leave Auth as No Auth for the public endpoints above.
  5. Send — expect 200 with JSON body.

Get Books

Browser

Public GET endpoints can be opened directly:

📁 Directory Structure

src/
├── app/                         # 🎨 Next.js App Router
│   ├── book/[id]/               # 📖 Book detail, reading, processing
│   │   ├── page.tsx             # Main book hub
│   │   ├── split/page.tsx       # Split detection workflow
│   │   └── page/[pageId]/page.tsx      # Individual page view
│   ├── api/                     # 🔌 All API routes
│   │   ├── books/               # Book CRUD & batch ops
│   │   ├── pages/               # Page processing
│   │   ├── image/               # Image proxy & cropping
│   │   ├── jobs/                # Async job tracking
│   │   └── search/              # Full-text & semantic
│   ├── [tenant]/                # 🏢 Tenant subdomain routes
│   ├── gallery/                 # 🖼️ Illustration browsing
│   ├── collections/             # 📑 Collection pages
│   └── admin/                   # ⚙️ Admin dashboard
├── hooks/                       # 🎣 Reusable React hooks
└── lib/                         # 🛠️ Business logic & utilities
    ├── mongodb.ts               # Database operations
    ├── image-extraction.ts      # Illustration detection
    └── auth-helpers.ts          # Authentication utilities

scripts/
├── workers/                     # ⚙️ Lambda worker functions
│   ├── pipeline-orchestrator.mjs # Main processing pipeline
│   ├── image-extract-worker.mjs # Gallery extraction
│   └── ...
├── maintenance/                 # 🔧 One-off maintenance scripts
├── migrations/                  # 📊 Database schema updates
└── audit-bph-leaks.mjs          # 🔒 Tenant security verification

tests/
├── unit/                        # ✔️ Vitest unit tests
└── integration/                 # 🔗 Integration tests

prompts/                        # 🤖 AI system prompts
├── ocr/
├── translation/
├── split-detection/
└── ...

.claude/                        # 🧠 AI agent context
├── docs/                       # 📚 Detailed architecture docs
├── skills/                     # 🎯 Specialized agent skills
└── handoffs/                   # 📋 Incident reports & lessons

🔄 Common Workflows

📥 Importing Books from Internet Archive

// From the UI or via API
POST /api/books
{
  "ia_id": "thehermetic00fludd",
  "title": "The Hermetic and Alchemical Writings",
  "author": "Arthur Edward Waite",
  "language": "en",
  "ustc_id": "123456"
}

The system:

  1. 📥 Fetches page images from IA IIIF
  2. ✂️ Detects splits and generates crop coordinates
  3. 📤 Queues for OCR and translation
  4. 🌍 Publishes when processing completes

✂️ Processing a Split Book

  1. 🖥️ Visit /book/[id]/split
  2. 🖱️ Adjust split line visually (drag or Gemini AI auto-detection)
  3. ✅ Click "Apply Split" — creates two virtual pages with crop coordinates
  4. 📸 Original images preserved; OCR runs on cropped versions

✍️ Batch OCR with Gemini Batch API

POST /api/books/[id]/batch-ocr-async
{
  "page_ids": ["page-1", "page-2", "page-3"],
  "language": "la"
}

Returns a job ID; Gemini processes offline, saves results when complete. 50% cheaper than standard API.

🎓 Generating a Scholarly Edition

POST /api/books/[id]/editions
{
  "title": "The Emerald Tablet: First Complete English Translation",
  "translator": "Jane Doe",
  "language": "en",
  "format": "epub"
}

System generates:

  • 📝 Scholarly front matter (introduction, translator bio, etc.)
  • 📱 EPUB with TOC and metadata
  • 🆔 DOI via Zenodo integration
  • 📚 Citation metadata (BibTeX, RIS)

🧪 Testing

🚀 Run Tests

# Unit tests
npm run test:unit

# Integration tests
npm run test:integration

# End-to-end tests (Playwright)
npm run test:e2e

# Coverage report
npm run test:coverage

# Watch mode
npm run test:watch

✅ E2E Test Examples

  • 📥 Book import — Validate IA ingestion pipeline
  • ✂️ Split detection — Verify gutter detection accuracy
  • 🌐 Translation — Confirm source/translation alignment
  • 🔒 Tenant subdomain — Ensure content isolation (no leaks)
  • 🔍 Search — Test full-text and semantic indexing

🚀 Deployment

🔄 Staging (Preview)

Every pushed branch auto-deploys to Vercel preview:

git push origin feat/my-feature
# ↓ Vercel builds and deploys
# ↓ Preview URL in GitHub PR

🌍 Production

Merge to main via PR → automatic Vercel deploy to sourcelibrary.org

✅ Pre-deployment checklist:

  • Tests pass (npm run test)
  • TypeScript check passes (npx tsc --noEmit)
  • No hardcoded secrets or credentials
  • Tenant subdomain leak audit passes (node scripts/audit-bph-leaks.mjs)
  • PR reviewed and approved

🔑 Environment Variables

Required (.env.local):

MONGODB_URI=mongodb+srv://...
NEXTAUTH_SECRET=<random-secret>
GOOGLE_API_KEY=<gemini-key>
VERCEL_BLOB_TOKEN=<vercel-blob-token>
AWS_REGION=us-east-1
AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...

Optional:

STRIPE_SECRET_KEY=<for-donations>
ZENODO_TOKEN=<for-doi-minting>
SUPABASE_URL=<for-embeddings>

📖 Documentation


🤝 Contributing

We welcome contributions! Start with CONTRIBUTING.md — setup, the branch/PR workflow, how deploys work (and the Vercel setup you should NOT do), and the data-safety rules. Deeper doctrine lives in the development workflow. The short version:

  1. 🌿 Create a feature branch (off main):

    # Using git worktree for multi-session safety
    git worktree add .claude/worktrees/feat-xyz feat/xyz
    cd .claude/worktrees/feat-xyz
    
  2. ✏️ Make changes and test:

    npm run lint
    npm run test
    npm run test:e2e
    
  3. 📤 Push and create a PR:

    git push origin feat/xyz
    gh pr create --base main
    
  4. 📋 PR guidelines:

    • One concern per PR — Don't bundle refactors with features
    • Verify deletions — Always grep -rn before deleting code
    • Run type check — npx tsc --noEmit before submitting
    • Describe scope — State what's in scope AND out of scope

🎯 What We're Looking For

  • 🐛 Bug fixes with test coverage
  • ✨ Feature implementations aligned with project mission
  • ⚡ Performance improvements with benchmarks
  • 📝 Documentation improvements
  • ♿ UX/accessibility enhancements
  • 🏢 Tenant integration examples

📢 Reporting Issues

  • 🐛 Bugs — Include reproduction steps, expected vs. actual behavior
  • 💡 Feature requests — Explain the use case and user impact
  • ❓ Questions — Open an issue

🛡️ Security & Data Protection

  • 🚫 No deletion without approval — All book/page deletions require explicit confirmation
  • 🔒 Tenant isolation — Tenant subdomains are closed systems (no cross-tenant leaks)
  • 🔐 Secret management — All secrets via environment variables, never hardcoded
  • ⚖️ AGPL licensing — Contributions must respect AGPL-3.0-or-later

See CLAUDE.md Security for detailed security policies.


📊 Current Status

As of July 2026 — these move weekly; live numbers at sourcelibrary.org/data.

📈 Active Corpus:

  • 📚 ~29K books with visible: true
  • ✅ ~15K fully processed (OCR'd and translated)
  • 🌍 ~14K with full English translations
  • 🖼️ 200K+ catalogued illustrations in the gallery

⚙️ Processing Capacity:

  • 📥 15K+ pages/month ingestion
  • 🗣️ Multi-language support (Latin, German, Greek, Arabic, Sanskrit, Chinese, etc.)
  • 💰 Batch API for 50% cost reduction

🏢 Platform Tenants:


📝 License

Source Library is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). All contributions must respect this license.

See LICENSING.md for details on third-party licenses and attribution.


📞 Support & Community


<div align="center">

📖 Digitizing history. Making primary sources readable. Building open scholarship.

↑ Back to top

</div>
src/
├── app/              # All routes, pages, and API endpoints
│   ├── api/          # API routes
│   ├── book/         # Book pages (detail, read, pipeline)
│   └── page.tsx      # Homepage
├── components/       # Reusable React components
├── hooks/            # Reusable React hooks for component logic
└── lib/              # Business Logic, Utilities (mongodb, ai, types), and Services

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