MCP server for querying books, compatible with clients such as Cherry Studio.
https://github.com/VmLia/books-mcp-serverStop manually searching for book information when you're deep in a coding session or research workflow. This MCP server puts comprehensive book data directly into your LLM client—no browser tabs, no context switching, no breaking your flow.
You're building documentation, writing technical content, or researching topics that reference books. Instead of alt-tabbing to Google Books or Amazon every time you need to verify an author, check publication details, or grab a summary, your LLM client can query book databases directly through MCP.
The real win? Your conversation context stays intact. Ask about "Clean Code" and get instant access to Robert Martin's book details, publication info, and key concepts without losing track of your current discussion.
Research Fragmentation: No more juggling browser tabs when you need book references mid-conversation Context Loss: Keep your LLM discussions flowing without breaking to look up publication details Manual Data Entry: Stop copy-pasting book information from various sources Incomplete References: Get complete bibliographic data formatted consistently
Smart Book Search: Natural language queries return relevant books with full metadata Web Scraping Integration: Uses BeautifulSoup and lxml to extract rich book data from multiple sources Cherry Studio Ready: Drop-in integration with Cherry Studio and other MCP clients Structured Responses: Get consistent, structured book data that's ready to use in your content
Technical Writers: Building reading lists or citing programming books in documentation Content Creators: Need quick access to book summaries and author information for articles Researchers: Compiling bibliographies or cross-referencing academic publications Developers: Building book-related features or need literature context for projects
The setup respects your existing Python workflow—use uv for clean dependency management and virtual environments:
git clone https://github.com/VmLia/books-mcp-server.git
cd books-mcp-server
uv venv && source .venv/bin/activate
uv add "mcp[cli]" httpx openai beautifulsoup4 lxml
Cherry Studio integration is straightforward—configure it as an STDIO server and you're querying books through natural conversation within minutes.
This isn't just another book API wrapper. It's built on the Model Context Protocol, which means your book queries become part of your LLM's available tools. Ask "What are the key concepts in Domain-Driven Design?" and your LLM can pull the actual book details, author background, and core themes directly into its response.
Your LLM conversations become more informed, your research becomes more efficient, and you spend less time context-switching between tools. That's the kind of productivity enhancement that MCP servers deliver—seamless integration that enhances what you're already doing without changing your workflow.
Ready to stop googling book details mid-conversation? Clone the repo and add book intelligence to your LLM toolkit.