Better Qdrant MCP Server

Better Qdrant MCP Server

Public
wrediam/better-qdrant-mcp-server

Model Context Protocol server enhancing Qdrant vector database management with features for listing collections, adding documents using multiple embedding services, performing semantic searches, and deleting collections.

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May 29, 2025
Updated Jun 4, 2025

Supercharge Your AI with Better Qdrant MCP Server

MCP Server

Unlock the full potential of Better Qdrant 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
OLLAMA_MODEL
Optional
string

Ollama model to use for embeddings

Default: nomic-embed-text
OLLAMA_ENDPOINT
Optional
string

Ollama server endpoint for local embedding models

Default: http://localhost:11434
DEFAULT_EMBEDDING_SERVICE
Optional
string

Default embedding service to use (ollama, openai, openrouter, fastembed)

OPENROUTER_API_KEY
Optional
string

Your OpenRouter API key for embedding generation

OPENAI_API_KEY
Optional
string

Your OpenAI API key for embedding generation

OPENROUTER_ENDPOINT
Optional
string

OpenRouter API endpoint

Default: https://api.openrouter.com/v1
QDRANT_URL
Optional
string

URL of your Qdrant server

Default: http://localhost:6333
OPENAI_ENDPOINT
Optional
string

OpenAI API endpoint

Default: https://api.openai.com/v1
QDRANT_API_KEY
Optional
string

API key for your Qdrant server if authentication is enabled

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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