vision-mcp (sulghu/vision-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 3 tools. No publisher has claimed this listing.

C
Emerging
74/100
19 days ago

vision-mcp

An MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.

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

sulghu

Source: Glama

Is this your MCP?

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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 3 credentials: DASHSCOPE_API_KEY, OPENAI_API_KEY, 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.
🔐 secretDASHSCOPE_API_KEYVISION_API_KEY ✅ —(也认 / OPENAI_API_KEY)
🔐 secretOPENAI_API_KEYVISION_API_KEY ✅ —(也认 DASHSCOPE_API_KEY / )
🔐 secretVISION_API_KEYexport =sk-你的Key
configVISION_BASE_URL"": "https://dashscope.aliyuncs.com/compatible-mode/v1",
configVISION_ENABLE_THINKING否 false(qwen3 系列不开启深度思考,设 true 可开启)
configVISION_FORCE_DOWNLOAD否 false(http 图片默认直传 URL,设 true 强制下载内联)
configVISION_MAX_IMAGE_MB否 15(超过自动压缩,需 sharp)
configVISION_MAX_TOKENS否 1024(被截断自动翻倍重试)
configVISION_MODEL"": "qwen3.7-plus"
configVISION_PROVIDER否 aliyun(可选 openai / siliconflow,一键切换预设)
configVISION_TIMEOUT否 120000(毫秒)
// 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

3/3 tools missing one or more hints — recognize_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ocr_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); vision_version (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.

Tool inputs are validated

2/3 tool handlers declare input schemas (67%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

2/3 tool handlers wrap calls in try/catch (67%)

Wrap each tool handler body in try/catch and return a structured error response.

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 5 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/sulghu-vision-mcp-108gos)](https://m8ven.ai/mcp/sulghu-vision-mcp-108gos)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 64c7a057fee63e0662ce55ffc54f564ca52af421
code hash: 73de07f69f92e24362c2690a16da442199e64b067dcd702ae3a60a63184ffaac
verified: 8/6/2026, 9:02:32 AM
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