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.
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
:
Command Line Options
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables semantic search across multiple Qdrant vector database collections, supporting multi-query capability and providing semantically relevant document retrieval with configurable result counts.
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