Better Qdrant MCP Server

@wrediam

About Better Qdrant MCP Server

No overview available yet

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

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"
      ]
    }
  }
}

Tools

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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

FAQ from Better Qdrant MCP Server

What embedding services are supported?

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

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.

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.

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.

Frequently asked questions

What embedding services are supported?

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

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`.

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.

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.

Comments

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