67
/ 100
1 month ago
glama

Qwen Video Understanding MCP Server

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMODAL_WORKSPACE"": "adam-31541",
configMODAL_APP"": "qwen-video-understanding"
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/adamanz-qwen-video-mcp-server-1ixd21)](https://m8ven.ai/mcp/adamanz-qwen-video-mcp-server-1ixd21)
commit: 4eb23d237c431c67994320e13717224838a4f732
code hash: 2ce330f179248fbcff618d8fef0ceeafa57f1a207bd7c3dc748f956887f72d86
verified: 6/17/2026, 12:45:30 PM
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