Image Analysis MCP Server

Enables AI assistants to locally process images with tools for cropping, zooming, enhancement, edge detection, segmentation, and text region extraction, all without external API keys. It uses PIL, OpenCV, and scikit-image for robust image analysis.

→ LeoSole423/images_mcp_server · listed on glama

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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.

configSERVER_PORT

configMAX_IMAGE_SIZE— 10485760 # 10MB en bytes

configOUTPUT_DIR— ./processed_images

// 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 4 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/leosole423-images-mcp-server-1c20wi)](https://m8ven.ai/mcp/leosole423-images-mcp-server-1c20wi)

commit: 29d0c9ca91b822b294d9aa0a586a9aaa322dc88e

code hash: a409bee5b706ef395a8768f378e58cebf45edfa074ea2f92f59dbe51e7d0a9de

verified: 6/22/2026, 1:25:22 PM

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