Name: famtong8-dev/w3-mcp-server-qdrant
Rating: 3.2 (1 reviews)
Author: famtong8-dev

famtong8-dev/w3-mcp-server-qdrant

Score: 55.2 Rank #19

w3-mcp-server-qdrant

Overview

famtong8-dev/w3-mcp-server-qdrant is a Python MCP server licensed under MIT. w3-mcp-server-qdrant

Ranked #19 out of 104 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

Forks 1

Description Brief

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1
Forks: 1
Open Issues: 0
Closed Issues: 0
Contributors: 3
Dependents: —
Language: Python
License: MIT
Last Commit: 1d ago

Matched Queries

"mcp server""mcp-server"

From the README

# Qdrant MCP Server

Model Context Protocol server for vector search using [Qdrant](https://qdrant.tech/) and [Ollama](https://ollama.ai/) embeddings.

## Features

- **Vector Search**: Search for similar documents using text queries (auto-embedded via Ollama)
- **Collection Management**: List and manage Qdrant collections
- **Flexible Output**: Markdown or JSON response formats
- **Read-Only**: Safe for querying without modifying data

## Prerequisites

### Qdrant Server

```bash
docker run -p 6333:6333 qdrant/qdrant:latest
```

Or install locally: [Qdrant Quick Start](https://qdrant.tech/documentation/quick-start/)

### Ollama Server

```bash
# Install: https://ollama.ai
ollama pull nomic-embed-text
ollama serve
```

Other embedding models available:

- `nomic-embed-text` (768 dims) - recommended, lightweight
- `mxbai-embed-large` (1024 dims) - higher quality
- `all-minilm` (384 dims) - ultra-lightweight

## Installation

```bash
# Clone/navigate to project directory
cd w3-mcp-server

Read full README on GitHub →