eyeshot-mcp

Item: eyeshot-mcp
Rating: 71
Author: M8ven

Provides screenshot capture and vision analysis tools that enable AI to see and analyze screen content on Windows, forming an automated capture-analyze pipeline.

→ FlyFeathers/eyeshot-mcp · 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.

✅

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 1 credential: VISION_API_KEY

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.

configSCREENSHOT_BROWSER_CLASSES— (optional) Comma-separated extra browser window classes

🔐 secretVISION_API_KEY— (required) Vision API key

configVISION_API_URL— A: Yes. Set and VISION_MODEL env vars. Compatible with any OpenAI-compatible API.

configVISION_MODEL— qwen/qwen2.5-vl-32b-instruct Any VL model

configVISION_MAX_WIDTH— 2048 Max image width sent to API (0 = no resize)

configVISION_MAX_TOKENS— 512 Max tokens in API response

// 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/flyfeathers-eyeshot-mcp-1piokn)](https://m8ven.ai/mcp/flyfeathers-eyeshot-mcp-1piokn)

commit: 8832c5492f0b4a0a08cadc7c1312eef595809b03

code hash: bf93e5e8138291b71885322459746b1cef2fb25b33d4a157f6fb318faa842fd7

verified: 7/30/2026, 8:56:12 AM

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