AI Book Agent
bytrakru
0Empowers AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation.
About
This tool serves as an MCP (Model Context Protocol) server, providing AI assistants with private and cost-efficient access to machine learning textbook content. It transforms authoritative ML textbooks into a knowledge service, leveraging local LLMs (Qwen) and embeddings (sentence-transformers) to create a RAG (Retrieval Augmented Generation) system. By adhering to the MCP standard, it enables universal access and seamless integration of book knowledge directly into various AI clients like Claude Desktop and VS Code, fostering composability and future-proofing workflows.
Key Features
- Private & Cost-Efficient Local LLM Integration (Ollama/Qwen)
- 0 GitHub stars
- Intelligent Search and Retrieval from ML Textbooks
- Source-Grounded Documentation Generation with Citations
- Universal AI Assistant Access via MCP Protocol
- Composability with Other MCP Servers and Tools
Use Cases
- Generating code comments and documentation in VS Code based on best practices
- Explaining ML concepts using textbook definitions within Claude Desktop
- Automating documentation pipelines using MCP CLI tools for deployment and monitoring topics
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