PixLint

Item: PixLint
Rating: 69
Author: M8ven

Provides AI assistants with a comprehensive computer-vision dataset toolkit for analyzing, curating, augmenting, and exporting datasets, including label error detection and automatic publishing.

→ amitsingh-24/PixLint · listed on glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 3 credentials: HF_TOKEN, CV_MCP_AUTH_TOKEN, AWS_SESSION_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.

🔐 secretHF_TOKEN

configMCP_TRANSPORT

configMCP_HOST

configMCP_PORT

🔐 secretCV_MCP_AUTH_TOKEN

configCV_MAX_IMAGE_PIXELS

🔐 secretAWS_SESSION_TOKEN

configAWS_DEFAULT_REGION

configCV_DATA_DIR— "env": { "": "/path/to/your/datasets" }

configCV_WORKSPACE

configCV_ALLOW_ALL_PATHS

configCV_SECURITY_LOG_FILE

// 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/amitsingh-24-pixlint-1kyh8d)](https://m8ven.ai/mcp/amitsingh-24-pixlint-1kyh8d)

commit: 4f3553b4dbeba23e7316c66f4b72b0113d33f05c

code hash: 2b3d85c4d9f05566cfd888a75af6bd2ce3c5a33693ad81143f5ab3c3818e8798

verified: 7/25/2026, 8:41:36 AM

view raw JSON →