# ai.testiv/mcp

> ai.testiv/mcp — ai-testiv-mcp. Use this tool when you need to perform visual regression testing on AI agents, identifying discrepancies in verdicts and generating diff images for comparison. It solves problems related to validating AI model outputs and explaining snapshot differences. The tool accepts local inputs and produces verdicts, diff images, and explain_snapshot outputs, making it ideal for local-first testing and development contexts.

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

## Description

Local-first visual regression for AI agents: verdicts, diff images, explain_snapshot. No API key.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.5.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.testiv%2Fmcp)
- **Repository:** <https://github.com/mcbuddy/testivai-oss>

## 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-testiv-mcp"
    }
  }
}
```

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