Better Qdrant MCP Server
@wrediam
About Better Qdrant MCP Server
No overview available yet
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
4List 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
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.
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