What are the system requirements?

Node.js >= 18.0.0, a running Qdrant server (local or remote), and API keys for the embedding services you intend to use.

How do I configure the server?

Set environment variables in a `.env` file or directly in the MCP client configuration. Required: `QDRANT_URL` and any embedding service API keys. Optional: `QDRANT_API_KEY`, `DEFAULT_EMBEDDING_SERVICE`.

What credentials does it need?

It reads `QDRANT_URL`, `QDRANT_API_KEY`, `DEFAULT_EMBEDDING_SERVICE`, `OPENAI_API_KEY`, `OPENAI_ENDPOINT`, `OPENROUTER_API_KEY`, `OPENROUTER_ENDPOINT`, `OLLAMA_ENDPOINT` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Better Qdrant MCP Server

# Better Qdrant MCP Server A Model Context Protocol (MCP) server for enhanced Qdrant vector database functionality. This server provides tools for

Local serverstdio

What is the Better Qdrant MCP Server?

Better Qdrant MCP Server A Model Context Protocol (MCP) server for enhanced Qdrant vector database functionality. This server provides tools for managing Qdrant

What you get

List Collections — View all available Qdrant collections
Add Documents — Process and add documents to a Qdrant collection with various embedding services
Search — Perform semantic searches across your vector database
Delete Collection — Remove collections from your Qdrant database

Configuration and credentials

Node.js >= 18.0.0 - A running Qdrant server (local or remote) - API keys for the embedding services you want to use

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Better Qdrant MCP Server

{
  "mcpServers": {
    "better-qdrant": {
      "command": "npx",
      "args": ["better-qdrant-mcp-server"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "QDRANT_API_KEY": "your_api_key_if_needed",
        "DEFAULT_EMBEDDING_SERVICE": "ollama",
        "OPENAI_API_KEY": "your_openai_api_key",
        "OPENAI_ENDPOINT": "https://api.openai.com/v1",
        "OPENROUTER_API_KEY": "your_openrouter_api_key",
        "OPENROUTER_ENDPOINT": "https://api.openrouter.com/v1",
        "OLLAMA_ENDPOINT": "http://localhost:11434",
        "OLLAMA_MODEL": "nomic-embed-text"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

Node.js >= 18.0.0 - A running Qdrant server (local or remote) - API keys for the embedding services you want to use

Variable	Description	Required
QDRANT_URL	Endpoint or connection string the server talks to.	Yes
QDRANT_API_KEY	Credential the server authenticates with.	Yes
DEFAULT_EMBEDDING_SERVICE	Configuration value read at startup.	Optional
OPENAI_API_KEY	Credential the server authenticates with.	Yes
OPENAI_ENDPOINT	Configuration value read at startup.	Optional
OPENROUTER_API_KEY	Credential the server authenticates with.	Yes
OPENROUTER_ENDPOINT	Configuration value read at startup.	Optional
OLLAMA_ENDPOINT	Configuration value read at startup.	Optional