MCP Qdrant Docker
M

MCP Qdrant Docker

This project provides an MCP server for connecting Claude to the Qdrant vector database, enabling remote access through Docker deployment.
2 points
5.7K

What is the Qdrant MCP Server?

The Qdrant MCP server is a tool that allows you to interact with the Qdrant vector database through the Model Context Protocol (MCP). It enables your AI models to quickly retrieve and process large-scale embedded data.

How to Use the Qdrant MCP Server?

You only need to configure the connection information of Qdrant and start the MCP server, and then integrate it in the client (such as Claude Desktop) to start using it.

Applicable Scenarios

Suitable for scenarios that require processing large-scale embedded data, such as natural language processing, image recognition, and recommendation systems.

Main Features

Support for MCP Protocol
Provide a standard MCP interface for easy integration with various AI models.
Seamless Docking with Qdrant
Connect directly to the Qdrant database without an additional middle layer.
Efficient Query
Utilize Qdrant's high-performance vector search function to accelerate data retrieval.
Advantages
Support multiple embedding models for flexible expansion.
Powerful vector search ability to improve query performance.
Easy to deploy and configure, simplifying the development process.
Limitations
Sensitive to network latency and requires a stable network environment.
Requires a certain technical foundation to configure the Qdrant and MCP servers.

How to Use

Install Docker Environment
Ensure that Docker is installed and running properly on your system.
Pull the Qdrant MCP Image
Get the MCP server image from Docker Hub.
Start the MCP Server
Start the MCP service using Docker Compose.

Usage Examples

Add New Embedded Data
Insert new embedded data into the Qdrant collection.
Query Nearest Neighbor Data
Find the most similar data points based on the input embedding.

Frequently Asked Questions

How to Set the URL of the Qdrant MCP Server?
Which Embedding Models Does the MCP Server Support?
How to Solve the Network Latency Problem?

Related Resources

Qdrant Official Documentation
Learn about the basic usage and advanced features of Qdrant.
MCP Protocol Official Website
Explore the specifications and technical details of the MCP protocol.
GitHub Source Code Repository
View the open-source code of the MCP server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "qdrant": {
      "url": "http://votre-adresse-ip:8000/sse",
      "transport": "sse"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.2K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.1K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
11.9K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.6K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
8.9K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
10.7K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
N
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
17.5K
4.5 points
G
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
17.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
54.4K
4.3 points
M
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
28.4K
5 points
F
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
51.0K
4.5 points
U
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#
23.0K
5 points
M
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
35.4K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.3K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase