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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
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// 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.
// known CVEs in dependencies2 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.0.0GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.0.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// 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 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/honeyvig-ai-vision-mcp-cxow7p)](https://m8ven.ai/mcp/honeyvig-ai-vision-mcp-cxow7p)
commit: 06264f91424eb6f9aa4089618dd365a2998be282
code hash: d4b4687c890878622e6f59f0a62a8db7ddf3edefff7af74e2b57bdb94423793b
verified: 6/17/2026, 12:30:41 PM
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