# cursor-browser-mcp

> cursor-browser-mcp — bcharleson-cursor-browser-cli. Use this tool when you need to automate interactions with web applications or inspect web page behavior, and want to leverage the capabilities of Cursor IDE's Browser Tab. It solves problems related to web automation, accessibility testing, and debugging by providing inputs such as click/type/fill actions and wait conditions, and outputs like screenshots and console/network logs. The tool is ideal for use cases requiring programmatic control over a browser instance, with a stdio MCP interface for seamless integration with AI agents.

Canonical page: https://skillsregistry.net/skills/bcharleson-cursor-browser-cli  
JSON: https://api.skillsregistry.net/v1/skills/bcharleson-cursor-browser-cli

## Description

Enables AI agents to control Cursor IDE's built-in Browser Tab through a stdio MCP interface, providing accessibility snapshots with refs, click/type/fill, wait conditions, screenshots, and console/network inspection.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ncz2unswc1)
- **Repository:** <https://github.com/bcharleson/cursor-browser-cli>

## 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": "bcharleson-cursor-browser-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bcharleson-cursor-browser-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bcharleson-cursor-browser-cli/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