Discover and explore Model Context Protocol servers. Find the right integrations for your AI apps and agents.
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An official Model Context Protocol server for storing and retrieving data in the Qdrant vector search engine, acting as a semantic memory layer.
Add this to your MCP client configuration:
{
"mcpServers": {
"qdrant-mcp-server-qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "<URL of Qdrant server>",
"QDRANT_API_KEY": "<API key for Qdrant server>",
"COLLECTION_NAME": "<Name of Qdrant collection to use>",
"EMBEDDING_MODEL": "<Model for embedding generation>"
}
}
}
}{
"id": "qdrant-mcp-server-qdrant",
"name": "Qdrant",
"description": "An official Model Context Protocol server for storing and retrieving data in the Qdrant vector search engine, acting as a semantic memory layer.",
"source_url": "https://github.com/qdrant/mcp-server-qdrant",
"publisher_name": "qdrant",
"publisher_url": "https://github.com/qdrant",
"is_official": true,
"license": "",
"runtime": "python",
"downloads": 42238,
"requires_oauth": false,
"distribution": {
"type": "pip",
"package": "mcp-server-qdrant"
},
"tools_count": 2
}