# ShowRun

> Use this tool when you need to automate browser tasks in a reliable and deterministic manner. ShowRun solves problems related to automating web interactions by providing a framework for creating and running customizable Task Packs, which can be defined using JSON or TypeScript and executed via CLI or dashboard. It is ideal for use cases requiring automated browser control, such as data scraping, testing, or workflow automation, and provides structured logging and artifact collection as output.

Canonical page: https://skillsregistry.net/skills/showrun  
JSON: https://api.skillsregistry.net/v1/skills/showrun

## Description

ShowRun provides a framework for creating and running deterministic browser automation tasks called Task Packs. Define flows in JSON or TypeScript, run them via CLI or as MCP tools, and edit them through an AI-assisted dashboard with Teach Mode. Each Task Pack is automatically discovered and registered as a callable MCP tool with structured logging and artifact collection. Built on Playwright for reliable browser control.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/showrun)
- **Repository:** <https://github.com/useshowrun/showrun/tree/HEAD/packages/mcp-server>

## 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": "showrun"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/showrun` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/showrun/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