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RAG Documentation MCP Server

RAG Documentation MCP Server

Public
jumasheff/mcp-ragdoc-fork

Provides vector-based semantic search and real-time context augmentation for AI assistants by retrieving and processing multiple documentation sources through the Model Context Protocol.

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May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with RAG Documentation MCP Server

MCP Server

Unlock the full potential of RAG Documentation MCP Server through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
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_API_KEY
Optional
string

API key for authenticating with Qdrant

QDRANT_URL
Optional
string

URL of your Qdrant vector database instance

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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