# ai-vision-mcp

> Use this tool when you need to analyze visual data, such as images and videos, to extract insights and patterns. The ai-vision-mcp tool solves problems related to object detection, facial recognition, and content moderation by leveraging Google Gemini and Vertex AI models. It accepts image and video inputs and outputs analyzed data through the Model Context Protocol interface.

Canonical page: https://skillsregistry.net/skills/tan-yong-sheng-ai-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tan-yong-sheng-ai-vision-mcp

## Description

Provides AI-powered image and video analysis using Google Gemini and Vertex AI models through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qjw7k7y4rq)
- **Repository:** <https://github.com/tan-yong-sheng/ai-vision-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tan-yong-sheng-ai-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tan-yong-sheng-ai-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tan-yong-sheng-ai-vision-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt