# io.github.runbook-ai/browser-agent

> Use this tool when you need to automate browser interactions with AI-driven decision-making, solving problems such as automated testing, data scraping, and workflow automation. It takes input from AI agents and outputs automated browser actions, providing a seamless interface for MCP servers. Ideal for use cases requiring intelligent browser automation, such as automating complex web workflows or simulating user interactions.

Canonical page: https://skillsregistry.net/skills/io-github-runbook-ai-browser-agent  
JSON: https://api.skillsregistry.net/v1/skills/io-github-runbook-ai-browser-agent

## Description

MCP server for browser automation with AI agent

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.runbook-ai%2Fbrowser-agent)
- **Repository:** <https://github.com/runbook-ai/runbook-ai-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": "io-github-runbook-ai-browser-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-runbook-ai-browser-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-runbook-ai-browser-agent/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