# mcp-see

> Use this tool when you need to analyze and understand visual data from images, as it provides multi-provider vision, object detection, and color extraction capabilities to help AI agents observe and comprehend image content. It solves problems related to image recognition, object identification, and scene understanding, and accepts image inputs to produce detailed analysis outputs. Ideal for use cases requiring visual data analysis, such as image classification, object detection, and scene description.

Canonical page: https://skillsregistry.net/skills/sanity-labs-mcp-see  
JSON: https://api.skillsregistry.net/v1/skills/sanity-labs-mcp-see

## Description

An MCP server that gives AI agents the ability to observe and understand images via multi-provider vision, object detection, hierarchical analysis, and color extraction.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kunqlv4j9l)
- **Repository:** <https://github.com/sanity-labs/mcp-see>

## 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": "sanity-labs-mcp-see"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanity-labs-mcp-see` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanity-labs-mcp-see/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