MCP Server
Qdrant MCP Server
by Qdrant
Connect models to a Qdrant vector database for semantic memory.
About Qdrant
Acts as an MCP server providing a semantic memory layer on top of the Qdrant vector search engine. Includes 'qdrant-store' and 'qdrant-find' tools for storing and retrieving information. Supports stdio and SSE transport protocols and is compatible with MCP-enabled clients like Cursor and Claude.
Tags
vector-databasesemantic-searchmemoryembeddings
How to install Qdrant
- Package
- mcp-server-qdrant (pypi)
- Transport
- Local (stdio), Remote (SSE), Remote (Streamable HTTP)
Install or run
uvx mcp-server-qdrantClient configuration
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333",
"QDRANT_API_KEY": "your_api_key",
"COLLECTION_NAME": "your-collection-name",
"EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
}
}
}
}Copied from the official README — . Replace placeholder keys with your own credentials.
Client setup documented by the maintainer
| Client | Setup steps in README |
|---|---|
| Claude Desktop | Yes |
| Claude Code | Yes |
| Cursor | Yes |
| VS Code | Yes |
| Windsurf | Yes |
“Not documented” means the README has no client-specific steps — most MCP clients can still run a local stdio server from the configuration above.