grade C

4 days ago

glama

AI Vision MCP Server

Enables AI-powered image and video analysis using Google Gemini and Vertex AI models. Supports analyzing single or multiple images, detecting objects with bounding boxes, and video content analysis through natural language prompts.

→ honeyvig/ai-vision-mcp · listed on glama

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

⚠️

Known vulnerabilities in dependencies: 2 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

✅

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: GEMINI_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configALLOWED_IMAGE_FORMATS

configALLOWED_VIDEO_FORMATS

configANALYZE_IMAGE_MODEL— export ="gemini-2.5-flash-lite"

configANALYZE_VIDEO_MODEL— export ="gemini-2.5-flash-pro"

configCOMPARE_IMAGES_MODEL— export ="gemini-2.5-flash"

configDETECT_OBJECTS_IN_IMAGE_MODEL

configGCS_BUCKET_NAME— export ="your-gcs-bucket"

configGCS_CREDENTIALS

configGCS_PROJECT_ID

configGCS_REGION

🔐 secretGEMINI_API_KEY— export ="your-gemini-api-key"

configGEMINI_BASE_URL

configGEMINI_FILES_API_THRESHOLD

configIMAGE_MODEL

configIMAGE_PROVIDER— export ="google" # or vertex_ai

configLOG_LEVEL

configMAX_IMAGES_FOR_COMPARISON

configMAX_IMAGE_SIZE

configMAX_TOKENS— export =1500

configMAX_TOKENS_FOR_ANALYZE_IMAGE

configMAX_TOKENS_FOR_ANALYZE_VIDEO

configMAX_TOKENS_FOR_COMPARE_IMAGES

configMAX_TOKENS_FOR_DETECT_OBJECTS_IN_IMAGE— 8192 # High token limit for JSON

configMAX_TOKENS_FOR_IMAGE

configMAX_TOKENS_FOR_VIDEO

configMAX_VIDEO_DURATION

configMAX_VIDEO_SIZE

configTOP_K

configTOP_K_FOR_ANALYZE_IMAGE

configTOP_K_FOR_ANALYZE_VIDEO

configTOP_K_FOR_COMPARE_IMAGES

configTOP_K_FOR_DETECT_OBJECTS_IN_IMAGE— 30 # Vocabulary selection

configTOP_K_FOR_IMAGE

configTOP_K_FOR_VIDEO

configTOP_P

configTOP_P_FOR_ANALYZE_IMAGE

configTOP_P_FOR_ANALYZE_VIDEO

configTOP_P_FOR_COMPARE_IMAGES

configTOP_P_FOR_DETECT_OBJECTS_IN_IMAGE— 0.95 # Nucleus sampling

configTOP_P_FOR_IMAGE

configTOP_P_FOR_VIDEO

configVERTEX_AI_FILES_API_THRESHOLD

configVERTEX_CREDENTIALS— export ="/path/to/service-account.json"

configVERTEX_ENDPOINT

configVERTEX_LOCATION

configVERTEX_PROJECT_ID— "GCS_BUCKET_NAME": "ai-vision-mcp-{}"

configVIDEO_MODEL

configVIDEO_PROVIDER— export ="google" # or vertex_ai

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// 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/honeyvig-ai-vision-mcp-cxow7p)](https://m8ven.ai/mcp/honeyvig-ai-vision-mcp-cxow7p)

commit: 06264f91424eb6f9aa4089618dd365a2998be282

code hash: d4b4687c890878622e6f59f0a62a8db7ddf3edefff7af74e2b57bdb94423793b

verified: 4/18/2026, 6:35:55 PM

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