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The mcp-server-qdrant MCP server was last committed 1mo ago and has 12 contributors. Issue health: 21% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp-server-qdrant MCP Server

Name: qdrant/mcp-server-qdrant
Rating: 3.3 (1 reviews)
Author: qdrant

qdrant/mcp-server-qdrant

Score: 56.7 ↓ 5.8% Rank #7945 Search & RAG

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An official Qdrant Model Context Protocol (MCP) server implementation

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Overview

qdrant/mcp-server-qdrant is a Python MCP server licensed under Apache-2.0. An official Qdrant Model Context Protocol (MCP) server implementation Topics: claude, cursor, llm, mcp, mcp-server, semantic-search, windsurf.

Ranked #7945 out of 24846 indexed tools.

Has 1,548 GitHub stars.

Has 12 contributors.

Ecosystem

Python Apache-2.0

claudecursorllmmcpmcp-serversemantic-searchwindsurf

Score Breakdown

Stars 15% 1,548

1,548 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 21%

21/102 issues closed → many open issues

Contributors 10% 12

12 contributors → active community

Dependents 25% 8

8 dependents → few downstream users

npm Downloads N/A

PyPI Downloads N/A

Forks 306

Description Good

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Description low impact

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Freshness high impact

Last commit was 54 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 81 open vs 21 closed issues — triaging stale issues improves health

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Details

Stars: 1,548
Forks: 306
Open Issues: 81
Closed Issues: 21
Contributors: 12
Dependents: 8
Language: Python
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"topic:mcptopic:mcp-server

From the README

# mcp-server-qdrant: A Qdrant MCP server

> The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables
> seamless integration between LLM applications and external data sources and tools. Whether you're building an
> AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to
> connect LLMs with the context they need.

This repository is an example of how to create a MCP server for [Qdrant](https://qdrant.tech/), a vector search engine.

## Overview

An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine.
It acts as a semantic memory layer on top of the Qdrant database.

## Components

### Tools

1. `qdrant-store`
   - Store some information in the Qdrant database
   - Input:
     - `information` (string): Information to store
     - `metadata` (JSON): Optional metadata to store
     - `collection_name` (string): Name of th

Read full README on GitHub →