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Qwen3-VL Video Understanding MCP Server

by adamanz
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Qwen3-VL Video Understanding MCP Server (Blaxel)

An MCP (Model Context Protocol) server that enables Claude and other AI agents to analyze videos and images using Qwen3-VL-8B-Instruct deployed on Blaxel.

Features

  • Video Analysis: Analyze videos via URL with custom prompts

  • Image Analysis: Analyze images via URL

  • Video Summarization: Generate summaries in different styles

  • Text Extraction: Extract on-screen text and transcribe speech

  • Video Q&A: Ask specific questions about video content

  • H100 GPUs: Fast inference on NVIDIA H100 GPUs via Blaxel

Architecture

Claude/Agent → MCP Server → Blaxel API → Qwen3-VL (H100 GPUs)

Prerequisites

  1. Blaxel Account: Sign up at blaxel.ai

  2. Blaxel CLI: Install the Blaxel CLI

  3. ffmpeg: Required for video frame extraction

  4. Python 3.10+

Quick Start

1. Deploy the Model to Blaxel

cat << 'EOF' | blaxel apply -f - apiVersion: blaxel.ai/v1alpha1 kind: Model metadata: name: qwen-qwen3-vl-8b-instruct displayName: Qwen/Qwen3-VL-8B-Instruct spec: enabled: true policies: [] flavors: - name: nvidia-h100/x4 type: gpu runtime: model: Qwen/Qwen3-VL-8B-Instruct type: hf_private_endpoint image: '' args: [] endpointName: qwenqwen3-vl-8b-instruct-nvidia-h100 organization: adamanz integrationConnections: - huggingface-4s2m2h EOF

Or use the provided config:

blaxel apply -f blaxel-model.yaml

2. Get Your API Key

blaxel auth token

3. Install the MCP Server

cd qwen-video-blaxel-mcp pip install -e .

Or with uv:

uv pip install -e .

4. Configure Environment

cp .env.example .env # Edit .env with your Blaxel API key

5. Add to Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{ "mcpServers": { "qwen3-video-blaxel": { "command": "uv", "args": [ "--directory", "/path/to/qwen-video-blaxel-mcp", "run", "server.py" ], "env": { "BLAXEL_API_KEY": "your-blaxel-api-key", "BLAXEL_MODEL": "qwen-qwen3-vl-8b-instruct" } } } }

6. Restart Claude Desktop

The qwen3-video-blaxel tools should now be available.

Available Tools

analyze_video

Analyze a video with a custom prompt.

analyze_video( video_url="https://example.com/video.mp4", question="What happens in this video?", max_frames=8 )

analyze_image

Analyze an image with a custom prompt.

analyze_image( image_url="https://example.com/image.jpg", question="Describe this image" )

summarize_video

Generate a video summary.

summarize_video( video_url="https://example.com/video.mp4", style="detailed" # brief, standard, or detailed )

video_qa

Ask specific questions about a video.

video_qa( video_url="https://example.com/video.mp4", question="How many people appear?" )

extract_video_text

Extract text and transcribe speech.

extract_video_text( video_url="https://example.com/presentation.mp4" )

check_configuration

Check the Blaxel API configuration.

list_capabilities

List all server capabilities.

Configuration

Environment Variable

Description

Default

BLAXEL_API_KEY

Your Blaxel API key

Required

BLAXEL_API_URL

Blaxel API URL

https://api.blaxel.ai/v1

BLAXEL_MODEL

Model name

qwen-qwen3-vl-8b-instruct

Requirements

  • ffmpeg: Required for video frame extraction

    # macOS brew install ffmpeg # Ubuntu/Debian apt install ffmpeg

Supported Formats

Video: mp4, webm, mov, avi

Image: jpg, jpeg, png, gif, webp

Comparison: Modal vs Blaxel

Feature

Modal

Blaxel

Model

Qwen2.5-VL-7B

Qwen3-VL-8B

GPU

A100

H100

Pricing

Pay-per-second

Subscription

Cold Start

~30-60s

Faster

Setup

Deploy code

Apply YAML

License

MIT

This server cannot be installed

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security - not tested
F
license - not found
-
quality - not tested

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