Overview

Title

RAG Documentation MCP Server

How to Use

The RAG Documentation MCP Server enables AI assistants to retrieve and process documentation through vector search, enhancing responses with relevant context. It supports configuration via claude_desktop_config.json and requires API keys for OpenAI and Qdrant.

Key Features

• Vector-based documentation search with semantic capabilities
• Multi-source support for diverse documentation inputs
• Automated processing with queue management
• Real-time context augmentation for LLMs
• URL extraction and indexing for dynamic content updates

Use Cases

• Enhancing AI responses with accurate documentation references
• Building documentation-aware AI assistants
• Implementing semantic search for technical content
• Augmenting developer tools with contextual knowledge
• Managing and indexing large-scale documentation repositories