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4 days ago
glama

CVAT MCP

Enables natural language interaction with CVAT (Computer Vision Annotation Tool) for task management, project operations, and annotation handling via the CVAT REST API.

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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.
🔐
You'll be asked for 1 credential: CVAT_AUTH_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCVAT_AUTH_SCHEME"": "Bearer"
🔐 secretCVAT_AUTH_TOKEN$env:="your_pat"
configCVAT_BASE_URL$env:="http://localhost:8080"
configCVAT_GENERATED_TOOLS_PATH"": "generated/cvat-tools.json"
configCVAT_ORGANIZATION
configCVAT_SCHEMA_SOURCE
// 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 1 concrete improvement 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/jangjs1216-cvat-mcp-19ro2v)](https://m8ven.ai/mcp/jangjs1216-cvat-mcp-19ro2v)
commit: c1b3ce7461598a9f96edbfe7819e79e8732623b3
code hash: 485fd503856306309948f66b8688862d51278f05f13c76525a18222fd69ee7fe
verified: 7/27/2026, 10:32:10 AM
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