MCP Server Qdrant Retrive
A semantic search MCP service based on the Qdrant vector database, supporting multi - collection retrieval and configurable result return
rating : 2 points
downloads : 8.3K
What is the Qdrant Retrieve MCP Server?
This is a semantic search service based on the Qdrant vector database. It can understand the deep meaning of query statements and intelligently retrieve relevant content from multiple document collections.How to use this service?
You can achieve the intelligent document retrieval function through simple API calls or by integrating it into Claude Desktop.Applicable scenarios
It is suitable for scenarios that require semantic understanding rather than simple keyword matching, such as knowledge base search, intelligent document recommendation, and question - answering systems.Main features
Multi - collection search
It can search multiple document collections simultaneously and return unified results
Multi - query support
It supports submitting multiple related queries at once to improve retrieval efficiency
Configurable number of results
You can customize the number of search results returned to meet different needs
Source tracking
It clearly marks the source collection of each result for easy subsequent processing
Advantages
Understand query semantics rather than simple keyword matching
Support fast retrieval of large - scale document collections
Flexible API interfaces for easy integration
Automatically handle the text vectorization process
Limitations
The first retrieval requires downloading the embedding model, which may be slow
Requires pre - configuring the Qdrant database connection
Depends on external vector database services
How to use
Configure Claude Desktop
Add the MCP server configuration to claude_desktop_config.json
Start the service
Start the MCP server through the command line
Execute a search
Send a search request through the API
Usage examples
Enterprise knowledge base search
Find relevant technical documents from multiple internal company knowledge bases
Product support document retrieval
Find answers to user questions from product manuals and FAQs
Frequently Asked Questions
Why is the first retrieval slow?
How to improve search quality?
Which languages are supported for document retrieval?
Related resources
Qdrant official documentation
Official documentation for the Qdrant vector database
HuggingFace model library
Details of the default embedding model used
MCP protocol specification
Official specification of the Model Context Protocol

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.3K
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.6K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
29.4K
4.8 points





