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Better Qdrant MCP Server

@wrediam

Repository

Basic information

Category

Databases

License

MIT

Transports

stdio

Author

wrediam

About Better Qdrant MCP Server

No overview available yet

#better-qdrant#mcp-server#vector-database

Better Qdrant MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "better-qdrant-mcp-server": {
      "command": "npx",
      "args": [
        "better-qdrant-mcp-server"
      ]
    }
  }
}

Better Qdrant MCP Server tools

4

List all available Qdrant collections

Add documents to a Qdrant collection with specified embedding service

Search for similar documents in a collection

Delete a Qdrant collection

Overview

What is Better Qdrant MCP Server?

A Model Context Protocol (MCP) server for enhanced Qdrant vector database functionality. It provides tools for managing Qdrant collections, adding documents, and performing semantic searches.

How to use Better Qdrant MCP Server?

Install via npm install -g better-qdrant-mcp-server or run with npx better-qdrant-mcp-server. Configure environment variables (Qdrant URL/keys, embedding service API keys) in a .env file or in your MCP settings for Claude. Use tools like list_collections, add_documents, search, and delete_collection via MCP client.

Key features of Better Qdrant MCP Server

  • List all available Qdrant collections
  • Add documents with multiple embedding services
  • Perform semantic semantic searches across collections
  • Delete collections from the database

Use cases of Better Qdrant MCP Server

  • Manage and organize vector database collections
  • Ingest documents with configurable chunking and embedding
  • Run semantic search queries on stored vectors
  • Clean up unused collections

Frequently asked questions

1

What embedding services are supported?

OpenAI, OpenRouter, Ollama (local, default endpoint http://localhost:11434), and FastEmbed (local models).

2

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.

3

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`.

4

How can I use the server with Claude?

Add the server to your MCP settings JSON with `"command": "npx", "args": ["better-qdrant-mcp-server"]` and specify `env` values for Qdrant and embedding services.

5

Can I use local embedding models?

Yes. Ollama (default endpoint http://localhost:11434, model e.g. `nomic-embed-text`) and FastEmbed are supported for local embeddings.

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