C
Emerging
74/100
6 hours ago

eyes-mcp

Gives text-only LLMs local vision by providing a local VLM and OCR via MCP, enabling agents to analyze screenshots and extract text from images.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

JamesbbBriz · Claimed

Source: 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.
Are you the publisher? Confirm or correct these findings.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configEYES_HOME
configVLM_MODEL
configVLM_MAX_DIM
configVLM_BASE_URLExternal VLM reuse: if you already run one at , eyes-mcp uses it instead of spawning its own.
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

2/2 tools missing one or more hints — analyze_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ocr_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 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/jamesbbbriz-eyes-mcp-yc7f2c)](https://m8ven.ai/mcp/jamesbbbriz-eyes-mcp-yc7f2c)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 67162cefbba19776eac09aaf97ce7cd8d3810d92
code hash: 59c28b501260dab7bbb351e29bd74b4726e6251717119e806c7bda528382cc1e
verified: 8/19/2026, 11:22:56 AM
view raw JSON →
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