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sanderkooger-mcp-server-ragdocs

sanderkooger-mcp-server-ragdocs

Public
sanderkooger/mcp-server-ragdocs

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

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May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with sanderkooger-mcp-server-ragdocs

MCP Server

Unlock the full potential of sanderkooger-mcp-server-ragdocs through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
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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
QDRANT_URL
Optional
string

URL of your Qdrant vector database instance

QDRANT_API_KEY
Optional
string

API key for authenticating with Qdrant (if applicable)

EMBEDDINGS_PROVIDER
Optional
string

Provider to use for generating embeddings

Default: ollama
OPENAI_API_KEY
Optional
string

API key for OpenAI (required when EMBEDDINGS_PROVIDER is 'openai')

OLLAMA_BASE_URL
Optional
string

Base URL for Ollama service (used when EMBEDDINGS_PROVIDER is 'ollama')

Default: http://127.0.0.1:11434

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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