qdrant_retrieveLABSCO SUMMARY
Retrieval across collections, not one at a time.
Most Qdrant bridges search a single collection per call, which pushes the merging back onto you. Here the collection list and the query list are both arrays, and every result comes back labelled with where it came from and how closely it scored.
What it is
An MCP server for retrieval from a Qdrant vector database. One tool takes a list of collections and a list of queries and returns the closest documents from all of them, each tagged with the query and the collection it came from.
What you get
- Several Qdrant collections searched in one call
- Several query texts sent at once
- The number of results per query set with topK, which defaults to 3
- Each result carrying its query, its source collection, the document text and a similarity score between 0 and 1
- Stdio by default, with HTTP transport and a REST server available by flag
Requirements
A running Qdrant instance; --qdrantUrl defaults to Qdrant's usual address on localhost, and QDRANT_API_KEY is only needed if that instance is authenticated. The embedding model downloads on the first retrieve, so the first call is slower than the ones after it.
Setup effort
Add the configuration to your client
USE CASES
01
Searching several knowledge bases at once
Pass the collection names as a list and get merged results, each labelled with its source.
02
Asking the same corpus several questions in one pass
Send the queries as an array instead of one call each.
03
Judging whether a hit is actually relevant
Every result carries a similarity score between 0 and 1.
04
Widening or tightening how much comes back
Raise or lower topK, which defaults to 3.
05
Pointing at a hosted Qdrant instead of localhost
Set --qdrantUrl, and QDRANT_API_KEY if that instance requires one.
1 tool
Listed in project docs. Your client may show a different list.
BEFORE YOU INSTALL
What to know first
Tools you get
1 tool named in the project's documentation.
Where it runs
The documented client runs the server on your machine.
INSTALLATION
Connect your client
MCP Clients
Claude Desktop
CLAUDE DESKTOP · JSON
{
"mcpServers": {
"qdrant": {
"command": "npx",
"args": [
"-y",
"@gergelyszerovay/mcp-server-qdrant-retrieve"
],
"env": {
"QDRANT_API_KEY": "<YOUR_QDRANT_API_KEY>"
}
}
}
}
