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adamanz

Qwen3-VL Video Understanding MCP Server

by adamanz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
BLAXEL_MODELNoModel nameqwen-qwen3-vl-8b-instruct
BLAXEL_API_KEYYesYour Blaxel API key
BLAXEL_API_URLNoBlaxel API URLhttps://api.blaxel.ai/v1

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_videoA
Analyze a video using Qwen3-VL-8B vision-language model on Blaxel.

The video must be accessible via a public URL. The model will:
1. Download the video
2. Extract key frames (up to max_frames)
3. Analyze the frames with your question

Examples:
- "What happens in this video?"
- "Summarize the main events"
- "What products are shown?"
- "Describe the people and their actions"
analyze_imageA
Analyze an image using Qwen3-VL-8B vision-language model on Blaxel.

The image must be accessible via a public URL.

Examples:
- "What's in this image?"
- "Describe the scene"
- "What text is visible?"
- "Identify any people or objects"
summarize_videoC
Generate a summary of a video.

Styles:
- brief: 1-2 sentence overview
- standard: 1-2 paragraph summary
- detailed: Comprehensive analysis
video_qaB
Ask a specific question about a video's content.

Examples:
- "How many people appear?"
- "What color is the car?"
- "What is being demonstrated?"
extract_video_textC

Extract text and transcribe speech from a video.

check_configurationC

Check the Blaxel API configuration.

list_capabilitiesB

List all server capabilities.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
get_server_infoGet server information.
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 7 tools

Disambiguation3/5

The tools have overlapping purposes that could cause confusion. analyze_video, summarize_video, and video_qa all process videos with similar capabilities, while analyze_image stands alone for images. The descriptions help differentiate use cases, but an agent might struggle to choose between summarize_video and video_qa for general video queries.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (analyze_image, analyze_video, extract_video_text, summarize_video, video_qa). However, check_configuration and list_capabilities deviate slightly with different verb styles, though they remain readable and understandable.

Tool Count5/5

With 7 tools, the count is well-scoped for a video understanding server. Each tool has a distinct role, covering image analysis, video analysis, configuration checks, text extraction, and capability listing, making the set comprehensive without being overwhelming.

Completeness4/5

The tool surface covers core video and image analysis tasks well, including configuration and capability checks. Minor gaps exist, such as no explicit tool for editing or modifying media, but agents can work around this with the provided analysis and summarization tools for typical use cases.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources