# Stunt Double

> Use this tool when you need to validate user journeys and identify UX friction at scale. It deploys AI user personas to simulate real-user interactions, providing insights into potential issues before they affect actual users. Ideal for UX designers and product teams looking to optimize user experiences and streamline testing processes.

Canonical page: https://skillsregistry.net/skills/io-stuntdouble-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-stuntdouble-mcp-server

## Description

Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.stuntdouble%2Fmcp-server)
- **Repository:** <https://github.com/stunt-double/stuntdouble-mcp>

## Use it

MCP endpoint published by the skill: `https://app.stuntdouble.io/api/mcp`

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": "io-stuntdouble-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-stuntdouble-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-stuntdouble-mcp-server/pull`

---
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