I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

MCP-Server-Qdrant-Retrieve
Servidor MCP para búsqueda semántica con Qdrant Vector Database
1
Github Watches
4
Github Forks
0
Github Stars
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 across -
topK
(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 result -
collectionName
: Collection name that this result came from -
text
: Document text content -
score
: 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
相关推荐
I find academic articles and books for research and literature reviews.
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Advanced software engineer GPT that excels through nailing the basics.
Converts Figma frames into front-end code for various mobile frameworks.
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
La aplicación AI de escritorio todo en uno y Docker con trapo incorporado, agentes de IA, creador de agentes sin código, compatibilidad de MCP y más.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
Plataforma de automatización de flujo de trabajo de código justo con capacidades de IA nativas. Combine el edificio visual con código personalizado, auto-anfitrión o nube, más de 400 integraciones.
Espejo dehttps: //github.com/agentience/practices_mcp_server
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_q2lwKa1B
As a dedicated user of mcp applications, I must say that mcp-server-qdrant-retrieve by gergelyszerovay has significantly streamlined my server processes. The seamless integration and ease of use make it a standout choice for anyone looking to enhance their retrieval systems. Highly recommended!