# AI Vision MCP Server

> Use this tool when you need to analyze images and videos using AI-powered models, enabling object detection, content analysis, and natural language-based video analysis. It solves problems such as automated image and video tagging, object recognition, and content moderation through its interface, which accepts image and video inputs and returns analysis results with bounding boxes and text outputs. Ideal for use cases requiring accurate and efficient visual content analysis, such as media processing, surveillance, and data annotation.

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

## Description

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.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z2r1q7f82g)
- **Repository:** <https://github.com/honeyvig/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": "honeyvig-ai-vision-mcp"
    }
  }
}
```

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