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

GLM Vision MCP

Enables text-only reasoning models to see images by wrapping vision-language models as MCP tools, supporting image description, OCR, chart analysis, and custom questioning within MCP-compatible IDEs.

→ xiayuyang750/glm-vision-mcp· 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

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Who stands behind it

xiayuyang750

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.
✅
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.
// 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_MODEL_PROVIDER✅ Yes zhipu Provider name (see table below)
configVISION_MODEL_ID✅ Yes glm-4.6v-flash The vision model to use
🔐 secretVISION_API_KEY✅ Yes — Your model provider's API key
configVISION_BASE_URL❌ No provider default Custom API base URL
configVISION_MAX_TOKENS❌ No 2048 Max response tokens
configVISION_TEMPERATURE❌ No 0.4 Sampling temperature
// 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 — see_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); describe_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); extract_text (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.

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/xiayuyang750-glm-vision-mcp-1vs5z6)](https://m8ven.ai/mcp/xiayuyang750-glm-vision-mcp-1vs5z6)
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commit: 88c63f048505cab90928ec3c909eefc61d170230
code hash: 7444893a1188f3379074f8255abb2e63ea21b253afd173c1317d9f8b211d38ea
verified: 8/13/2026, 7:42:12 AM
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