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Qdrant MCP Server
Vector-based memory storage and semantic search retrieval for AI systems using Qdrant vector database.
Qdrant MCP Server
The official Qdrant MCP Server provides persistent semantic memory and high-performance vector search to AI assistants.
Capabilities
- Memory Storage: Store text snippets and metadata payloads with automatic embeddings via FastEmbed (
all-MiniLM-L6-v2). - Semantic Retrieval: Execute similarity searches across vector collections to retrieve relevant past context.
- Multi-Collection Management: Partition memory spaces across separate collections.
- Flexible Transport: Supports standard input/output (
stdio),sse, andstreamable-httptransport modes.
Configuration
Configure your client to point to a local or cloud Qdrant cluster:
{
"mcpServers": {
"qdrant": {
"command": "uvx",
"args": ["mcp-server-qdrant"],
"env": {
"QDRANT_URL": "http://localhost:6333",
"COLLECTION_NAME": "agent-memories"
}
}
}
}