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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

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Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
EMBEDDING_MODEL
Optional
string

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

QDRANT_API_KEY
Optional
string

API key for Qdrant Cloud (required when using cloud instance)

OPENAI_API_KEY
Optional
string

OpenAI API key (required if using OpenAI)

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

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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