OpenLibrary MCP
Enables searching for books using the OpenLibrary API; provides a search_books tool for AI assistants to find books by title, author, or keywords.
README
OpenLibrary MCP
A book search application that provides access to the OpenLibrary API through both FastAPI and MCP (Model Context Protocol) servers.
🚀 Features
- Book Search: Search for books using the OpenLibrary API
- Dual Server Support: Available as both FastAPI web server and MCP server
- Data Validation: Robust Pydantic models with proper validation
- Error Handling: Graceful handling of incomplete API responses
- Comprehensive Logging: Detailed logging for monitoring and debugging
- Code Quality: Pre-commit hooks for maintaining code standards
📦 Installation
Prerequisites
- Python 3.11+
- Poetry (recommended) or pip
Using Poetry (Recommended)
# Clone the repository
git clone <repository-url>
cd openlibrary_mcp
# Install dependencies
poetry install
# Install pre-commit hooks
poetry run pre-commit install
# Activate virtual environment
poetry shell
Using pip
# Clone the repository
git clone <repository-url>
cd openlibrary_mcp
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
🛠️ Usage
FastAPI Server
Start the FastAPI web server:
python -m openlibrary_mcp.fastapi_server
The server will be available at http://localhost:8000
API Endpoints
GET /search?query=<search_term>- Search for booksGET /health- Health check endpointGET /- API informationGET /docs- Interactive API documentation
Example:
curl "http://localhost:8000/search?query=python+programming"
MCP Server
The MCP server provides tool-based access for AI assistants:
python -m openlibrary_mcp.mcp_server
Or use the installed command:
openlibrary-mcp
🤖 Using with Claude Desktop
This MCP server can be easily integrated with Claude Desktop to provide book search capabilities directly in your conversations with Claude.

📋 Prerequisites
- Claude Desktop application installed
- This openlibrary_mcp project installed and working
- Poetry or Python environment set up
⚙️ Setup Instructions
1. Locate Claude Desktop Config
Find your Claude Desktop configuration file:
macOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows:
%APPDATA%\Claude\claude_desktop_config.json
Linux:
~/.config/Claude/claude_desktop_config.json
2. Add Books MCP Server
Edit the claude_desktop_config.json file and add the openlibrary-mcp server:
{
"mcpServers": {
"books-search": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/uysalserkan/openlibrary-mcp",
"openlibrary-mcp"
]
},
...
}
}
3. Restart Claude Desktop
Close and restart Claude Desktop for the changes to take effect.
🎯 Using the Book Search Tool
Once configured, you can use the book search functionality in Claude Desktop:
Example Conversations:
You: "Can you help me find books about Python programming?"
Claude: I'll search for Python programming books for you.
[Claude uses the search_books tool]
Claude: I found several Python programming books:
-
"Learning Python" by Mark Lutz (2013)
- 5 editions available
- Language: English
-
"Python Crash Course" by Eric Matthes (2019)
- 3 editions available
- Language: English
[...more results...]
Other Example Queries:
- "Find books by J.R.R. Tolkien"
- "Search for books about machine learning"
- "Look up George Orwell's 1984"
- "Find cookbooks published after 2020"
🔧 Tool Details
The MCP server provides one tool:
search_books(query: str)
- Purpose: Search for books using OpenLibrary API
- Input: Search query string
- Output: Structured book data including titles, authors, publication years, and more
- Examples:
"python programming""tolkien lord of the rings""george orwell 1984"
✅ Verification
After setup, you should see:
- In Claude Desktop: The openlibrary-mcp server listed in available tools
- In Conversations: Ability to ask Claude to search for books
- In Logs: MCP server startup messages when Claude Desktop starts
The integration allows Claude to seamlessly search for books and provide detailed information about authors, publication years, editions, and more, making it a powerful research and discovery tool!
🔧 Development
Pre-commit Hooks
This project uses pre-commit hooks to ensure code quality and consistency. The following tools are configured:
🛡️ Code Quality Tools
- Black: Code formatting (line length: 88)
- isort: Import sorting with black compatibility
- Ruff: Fast Python linter (replaces flake8)
- mypy: Static type checking
- Bandit: Security vulnerability scanner
📝 General Checks
- Trailing whitespace: Automatically removes trailing spaces
- End of file: Ensures files end with newline
- YAML/TOML validation: Validates configuration files
- Large files: Prevents committing large files
- Merge conflicts: Detects merge conflict markers
- Debug statements: Finds debug statements in code
🚀 Running Pre-commit
# Install hooks (run once)
poetry run pre-commit install
# Run on all files
poetry run pre-commit run --all-files
# Run on specific files
poetry run pre-commit run --files openlibrary_mcp/models.py
# Skip hooks for a commit (not recommended)
git commit -m "message" --no-verify
⚙️ Tool Configuration
All tools are configured in pyproject.toml:
[tool.black]
line-length = 88
target-version = ['py311']
[tool.isort]
profile = "black"
line_length = 88
[tool.ruff.lint]
select = ["E", "W", "F", "I", "B", "C4", "UP"]
[tool.mypy]
python_version = "3.11"
disallow_untyped_defs = true
📊 API Response Format
{
"num_found": 1234,
"q": "python programming",
"docs": [
{
"author_name": "John Doe",
"edition_count": 5,
"first_publish_year": 2020,
"language": "en",
"title": "Python Programming Guide"
}
]
}
🏗️ Project Structure
openlibrary_mcp/
├── openlibrary_mcp/ # Main package directory
│ ├── __init__.py # Package initialization
│ ├── fastapi_server.py # FastAPI web server
│ ├── mcp_server.py # MCP server implementation
│ ├── models.py # Pydantic data models
│ └── providers.py # OpenLibrary API provider
├── .pre-commit-config.yaml # Pre-commit configuration
├── claude_desktop_config.json # Sample Claude Desktop configuration
├── pyproject.toml # Project configuration
├── poetry.lock # Dependency lock file
├── README.md # This file
└── dist/ # Built packages
🔧 Dependencies
- FastAPI: Web framework for building APIs
- FastMCP: MCP server implementation
- Pydantic: Data validation and settings management
- Uvicorn: ASGI server for FastAPI
- HTTPX: Async HTTP client for API calls
- Requests: HTTP library for synchronous requests
Development Dependencies
- pre-commit: Git hooks for code quality
- black: Code formatter
- isort: Import sorter
- ruff: Fast Python linter
- mypy: Static type checker
- bandit: Security linter
🔍 Data Models
BookDetails
Represents individual book information with optional fields to handle incomplete API responses:
author_name: Author's nameedition_count: Number of available editionsfirst_publish_year: Year of first publicationlanguage: Book language(s)title: Book title
OpenLibrary
Represents the complete API response:
num_found: Total number of books foundq: Search querydocs: List of book details
📋 Logging
The application includes comprehensive logging to help with monitoring and debugging:
🎯 Key Logging Features:
- API Calls: Track OpenLibrary API requests, responses, and timing
- Data Validation: Monitor model validation, data cleaning, and incomplete records
- Server Activity: Log server startup, endpoint access, and request processing
- Error Handling: Detailed error logging with context
📊 Log Levels:
- INFO: General application flow and important events
- DEBUG: Detailed validation steps and data processing
- WARNING: Non-critical issues (empty queries, missing fields)
- ERROR: Failures and exceptions with full context
🔧 Log Format:
2025-07-15 16:57:40,733 - openlibrary_mcp.providers - INFO - 📚 Starting book search for query: 'python'
2025-07-15 16:57:40,734 - openlibrary_mcp.models - INFO - ⚠️ 1/3 books have missing critical fields
📝 Example Log Messages:
🔧 OpenLibraryProvider initialized with base_url: https://openlibrary.org
📚 Starting book search for query: 'python programming'
📡 API Response: 200 | Content-Length: 12345
✅ Search completed: 1234 total books found, 20 returned in response
🎯 Successfully processed 20 book records
🔍 MCP tool called: search_books with query='python'
🌐 GET /search - Query: {'query': 'python'}
📊 Response: 200 | Time: 0.523s
🧪 Testing
Run a quick test to verify the installation:
# Test FastAPI server
python -c "from openlibrary_mcp.providers import OpenLibraryProvider; print('✅ OpenLibrary provider works!')"
# Test models
python -c "from openlibrary_mcp.models import BookDetails, OpenLibrary; print('✅ Models imported successfully!')"
# Test pre-commit hooks
poetry run pre-commit run --all-files
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Ensure pre-commit hooks pass:
poetry run pre-commit run --all-files - Add tests if applicable
- Submit a pull request
Code Quality Standards
- Type hints: All functions must have proper type annotations
- Documentation: Use docstrings for all public functions and classes
- Error handling: Use proper exception chaining with
raise ... from e - Security: Avoid binding to all interfaces (
0.0.0.0) in production - Logging: Include meaningful log messages with appropriate levels
📝 License
This project is open source and available under the MIT License.
🔗 Related Links
- OpenLibrary API Documentation
- FastAPI Documentation
- MCP Documentation
- Pydantic Documentation
- Pre-commit Documentation
🐛 Issues
If you encounter any issues, please create an issue on the GitHub repository with:
- Description of the problem
- Steps to reproduce
- Expected vs actual behavior
- Your environment details
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