BookLab MCP Server
Provides curated nonfiction book recommendations and profiles using TF-IDF scoring with concept expansion, enabling users to get ranked book suggestions by describing a situation, topic, or question.
README
BookLab MCP Server
Curated nonfiction book recommendations for AI agents via the Model Context Protocol.
Quick Start
// claude_desktop_config.json
{
"mcpServers": {
"booklab": {
"command": "node",
"args": ["/path/to/booklab-agents/server.js"]
}
}
}
Tools
| Tool | Description |
|---|---|
recommend |
Get ranked book recommendations by describing a situation, question, or topic |
book_profile |
Get the full structured profile of a specific book |
list_books |
List all books in the curated library |
Resource
booklab://library— Full library as JSON
Library
21 curated nonfiction books (all 5/5 rated), covering philosophy, psychology, history, economics, and human nature.
How It Works
The server uses TF-IDF scoring with concept expansion (synonym maps for 17 concept families) to match natural language queries against structured book profiles. Each profile includes themes, tags, key insights, emotional tone, worldview, difficulty rating, and connections to other books.
Built By
BookLab by Bjorn — 10+ years of nonfiction book reviews. 16k YouTube subscribers, 43k X followers.
License
MIT
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