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RAG Documentation MCP Server

RAG Documentation MCP Server

Public
jumasheff/mcp-ragdoc-fork

Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Verified
typescript
0 tools
May 30, 2025
Updated May 30, 2025
Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
OPENAI_API_KEY
Optional
string

Your OpenAI API key for embeddings generation

QDRANT_URL
Optional
string

URL of your Qdrant vector database instance

QDRANT_API_KEY
Optional
string

API key for authenticating with Qdrant

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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