mcp-image-recognition (mario-andreschak/mcp-image-recognition) 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
10 days ago

mcp-image-recognition

Provides image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.

→ mario-andreschak/mcp-image-recognition· listed on modelscope

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

mario-andreschak

Source: modelscope · also listed on mcp.so

Maintenance & responsiveness
as of 2026-08-15
Issues closed (90d): 0 · 2 open
Releases (90d): none
Active contributors (6mo): 0
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Install from

modelscopemcp.so

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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 2 credentials: ANTHROPIC_API_KEY, OPENAI_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.
configMCP_OUTPUT_ENCODING
configLOG_LEVELLogging level (DEBUG, INFO, WARNING, ERROR).
configVISION_PROVIDERPrimary vision provider (anthropic or openai).
configFALLBACK_PROVIDEROptional fallback provider.
configENABLE_OCREnable Tesseract OCR text extraction (true or false).
configTESSERACT_CMDOptional custom path to Tesseract executable.
🔐 secretANTHROPIC_API_KEYYour Anthropic API key.
configANTHROPIC_MODEL
🔐 secretOPENAI_API_KEYYour OpenAI API key.
configOPENAI_BASE_URLOptional custom base URL for the OpenAI API. Set to https://openrouter.ai/api/v1 for OpenRouter.
configOPENAI_TIMEOUTOptional custom timeout (in seconds) for the OpenAI API.
configOPENAI_MODELOpenAI Model (default: gpt-4o-mini). Can use OpenRouter format for other models (e.g., anthropic/claude-3.5-sonnet:beta).
// 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); describe_image_from_file (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.

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 2 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/mario-andreschak-mcp-image-recognition-foelqx)](https://m8ven.ai/mcp/mario-andreschak-mcp-image-recognition-foelqx)
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commit: ffc59ec853d603bed520553545c294f4003c18f5
code hash: 22a8463b5cadeebd65e76c42c1ecf433397cecf490cebe27f78404923cf7b255
verified: 8/13/2026, 9:52:02 PM
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