Qdrant Retrieve
Semantic search using the Qdrant vector database.
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:
{
"mcpServers": {
"qdrant": {
"command": "npx",
"args": ["-y", "@gergelyszerovay/mcp-server-qdrant-retrive"],
"env": {
"QDRANT_API_KEY": "your_api_key_here"
}
}
}
}
Command Line Options
MCP server for semantic search with Qdrant vector database.
Options
--enableHttpTransport Enable HTTP transport [default: false]
--enableStdioTransport Enable stdio transport [default: true]
--enableRestServer Enable REST API server [default: false]
--mcpHttpPort=<port> Port for MCP HTTP server [default: 3001]
--restHttpPort=<port> Port for REST HTTP server [default: 3002]
--qdrantUrl=<url> URL for Qdrant vector database [default: http://localhost:6333]
--embeddingModelType=<type> Type of embedding model to use [default: Xenova/all-MiniLM-L6-v2]
--help Show this help message
Environment Variables
QDRANT_API_KEY API key for authenticated Qdrant instances (optional)
Examples
$ mcp-qdrant --enableHttpTransport
$ mcp-qdrant --mcpHttpPort=3005 --restHttpPort=3006
$ mcp-qdrant --qdrantUrl=http://qdrant.example.com:6333
$ mcp-qdrant --embeddingModelType=Xenova/all-MiniLM-L6-v2
관련 서버
Whois MCP
Performs WHOIS lookups to retrieve domain registration details, including owner, registrar, and expiration dates.
ContextMCP
A self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.
PartsTable
IT hardware parts research — normalize PNs, search listings, get substitutes, check pricing, validate against OEM sources
Tarteel MCP Server
Quran-focused MCP server for ayah translation, tafsir, mutashabihat lookups, recitation playlists, and prayer times.
Embedding MCP Server
An MCP server powered by txtai for semantic search, knowledge graphs, and AI-driven text processing.
KnyazevAI MCP Catalog
Search and discover 24,500+ MCP servers and AI agents. Semantic search, trust scores, vulnerability tracking.
Coles and Woolworths MCP Server
Search for products and compare prices at Coles and Woolworths supermarkets in Australia.
TicketLens Experiences MCP
Hosted remote MCP server for destination experiences with public endpoint and POI resolution.
Glean
Search and chat across your company's apps using the Glean API.
Dartpoint
Access public disclosure information for Korean companies (DART) using the dartpoint.ai API.