# ai.snapdiff/mcp

> Use this tool when you need to detect and visualize changes in UI elements for coding agents, solving problems of agentic UI drift and ensuring consistency in automated interactions. It takes in UI snapshots and outputs highlighted differences, enabling quick identification of changes. Ideal for use in automated testing and debugging contexts where UI stability is crucial.

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

## Description

Visual-diff & change-detection tools that catch agentic UI drift for coding agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.4.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.snapdiff%2Fmcp)
- **Repository:** <https://github.com/corralimited/snapdiff-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": "ai-snapdiff-mcp"
    }
  }
}
```

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