Book Fetch (Library Genesis)
Book Fetch MCP provides AI assistants with access to published books through a specialized tool that retrieves and processes book content from Library Genesis. Built with Python using the FastMCP framework, it downloads books based on title and author, extracts text from PDFs using parallel processing, and intelligently manages large texts by delivering them in manageable chunks with proper metadata. The implementation includes a caching mechanism to improve performance for repeated requests and handles various error conditions gracefully. It's particularly valuable for workflows requiring in-depth book analysis, research, or reference within AI assistant conversations without requiring users to manually locate and process book content.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/kinshukk/book-fetch-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Book Fetch (Library Genesis) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.