DocServer
Provides advanced vector store operations, document search, and information retrieval through a Model Context Protocol (MCP) interface.
About
DocServer acts as a Model Context Protocol (MCP) server, integrating an efficient Faiss vector store for comprehensive document management. It enables advanced vector store operations, including creating, searching, and managing document collections. The server facilitates seamless integration with popular MCP clients like GitHub Copilot, Claude Desktop, and VSCode's Continue extension, making it an invaluable tool for enhancing AI-assisted workflows with context-aware information retrieval from PDFs, text files, and web sources.
Key Features
- Semantic Search using HuggingFace embeddings
- 0 GitHub stars
- PDF Processing with LLMSherpa
- File Operations and Mathematical Calculations
- Vector Store Operations (create, search, manage)
- Web Search Integration (Google, Wikipedia, DuckDuckGo)
Use Cases
- Processing and indexing PDF and text documents for RAG systems
- Integrating document search capabilities into development environments
- Contextual information retrieval for AI assistants and LLMs
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