vision_kit (Seom-ingit/vision_kit) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

Back to MCP Trust Indexm8ven
C
Emerging
74/100
14 days ago

vision_kit

MCP server that enables AI agents to read and analyze math/geometry diagrams, extracting structured data like vectors, matrices, coordinates, and angles with validation and retry logic.

→ Seom-ingit/vision_kit· 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.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

Seom-ingit

Source: Glama

Is this your MCP?

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Install from

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.
🔐
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.
// 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.
configVISION_KIT_DIR插件自动定位项目目录：优先读 环境变量，其次由插件文件自身位置推导
🔐 secretVISION_API_KEYexport =你的Key # 填你在阿里云百炼创建的 SK- 开头 Key
configVISION_API_BASE若你更喜欢智谱的 glm-4v-flash：把 换成 https://open.bigmodel.cn/api/paas/v4、VISION_MODEL 换成 glm-4v-flash，
configVISION_MODEL若你更喜欢智谱的 glm-4v-flash：把 VISION_API_BASE 换成 https://open.bigmodel.cn/api/paas/v4、 换成 glm-4v-flash，
configVISION_TIMEOUT凭证读取环境变量 VISION_API_KEY / VISION_API_BASE / VISION_MODEL / / VISION_MAX_TOKENS（与 MCP 服务器一致）。
configVISION_MAX_TOKENS并记得把 同步改回 1024（glm-4v-flash 上限是 1024，见下方「参数调优」）。
// 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

4/4 tools missing one or more hints — describe_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); describe_image_structured (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); describe_image_stats (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 more. 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.).

Tool test coverage

Only 0/4 tools referenced in tests (0%)

Write tests that reference each tool by name so every tool has at least one test.

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.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/seom-ingit-vision-kit-1euid5)](https://m8ven.ai/mcp/seom-ingit-vision-kit-1euid5)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 5cc1d5bee037457210b0862f908d52b1ffcdcced
code hash: 5b29d7abef70bdd034be1eac436bb78f5335a6b324a0fca37fddf0e1d76f8018
verified: 8/15/2026, 9:35:09 AM
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