Qdrant Retrieve MCP Server
MCP server for semantic search with Qdrant vector database.
Features
Semantic search across multiple collections
Multi-query support
Configurable result count
Collection source tracking
Note: The server connects to a Qdrant instance specified by URL.
Note 2: The first retrieve might be slower, as the MCP server downloads the required embedding model.
Related MCP server: Better Qdrant MCP Server
API
Tools
qdrant_retrieve
Retrieves semantically similar documents from multiple Qdrant vector store collections based on multiple queries
Inputs:
collectionNames(string[]): Names of the Qdrant collections to search acrosstopK(number): Number of top similar documents to retrieve (default: 3)query(string[]): Array of query texts to search for
Returns:
results: Array of retrieved documents with:query: The query that produced this resultcollectionName: Collection name that this result came fromtext: Document text contentscore: Similarity score between 0 and 1
Usage with Claude Desktop
Add this to your claude_desktop_config.json: