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RagDocs MCP Server

RagDocs MCP Server

Public
heltonteixeira/ragdocs

Model Context Protocol server offering retrieval-augmented generation with semantic document search, management, and vector similarity using Qdrant and Ollama or OpenAI embeddings.

typescript
0 tools
May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with RagDocs MCP Server

MCP Server

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

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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 instance (for local: 'http://127.0.0.1:6333', for cloud: 'https://your-cluster-url.qdrant.tech')

Default: http://127.0.0.1:6333
EMBEDDING_PROVIDER
Optional
string

Choice of embedding provider ('ollama' or 'openai')

Default: ollama
EMBEDDING_MODEL
Optional
string

Model to use for embeddings (Ollama defaults to 'nomic-embed-text', OpenAI defaults to 'text-embedding-3-small')

OPENAI_API_KEY
Optional
string

OpenAI API key (required if using OpenAI)

QDRANT_API_KEY
Optional
string

API key for Qdrant Cloud (required when using cloud 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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