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sanderkooger-mcp-server-ragdocs

sanderkooger-mcp-server-ragdocs

Public
sanderkooger/mcp-server-ragdocs

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included

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
QDRANT_API_KEY
Optional
string

API key for authenticating with Qdrant (if applicable)

QDRANT_URL
Optional
string

URL of your Qdrant vector database instance

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
EMBEDDINGS_PROVIDER
Optional
string

Provider to use for generating embeddings

Default: ollama

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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