opencode-eyes-nvidia (bauerelizabeth07139/opencode-eyes-nvidia) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 2 tools. No publisher has claimed this listing.

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C
Emerging
74/100
7 days ago

opencode-eyes-nvidia

MCP server that gives non-multimodal models 'eyes' by describing images via NVIDIA NIM's MiniMax-M3 model, with tools to describe images and list available vision models. It supports multiple NVIDIA API keys with automatic failover and rotation.

→ bauerelizabeth07139/opencode-eyes-nvidia· listed on glama

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.

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Who stands behind it

bauerelizabeth07139

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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: NVIDIA_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
configNVIDIA_BASE_URLAPI 基础地址
configNVIDIA_MODEL可通过 或 describe_image 的 model 参数切换：
configNVIDIA_TIMEOUTAPI 请求超时（秒）
configNVIDIA_MAX_DIMENSION发送前图片最长边缩放到该像素，0 表示不缩放
configNVIDIA_JPEG_QUALITY发送前 JPEG 压缩质量（0-100）
configNVIDIA_THINKING_MODEMiniMax-M3 推理模式：enabled / disabled / adaptive
🔐 secretNVIDIA_API_KEY单个 NVIDIA API Key（在 https://build.nvidia.com 获取，nvapi-...）
configNVIDIA_API_KEYS多个 Key，用逗号 / 分号 / 空格 / 换行分隔
configNVIDIA_ROTATION_MAX_RETRIES轮询总尝试次数（跨所有 Key）
configNVIDIA_ROTATION_BACKOFF每次失败后等待的秒数（等待配额刷新）
// 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 — describe_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_vision_models (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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

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 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 4a7b4085a95a87ba2b31641fa5142262199a8ddb
code hash: 9af33245fb1b8ce4f31ca955ef1c1b892dad1f0e416efeb4dff51e647836b74b
verified: 9/5/2026, 7:02:08 AM
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