# surf-mcp

> Use this tool when you need to automate web browsing tasks through natural language inputs, enabling AI to interact with web pages by simulating user actions like clicking and typing. It solves problems like data extraction, web scraping, and automated testing by providing a visual interface for AI to navigate and manipulate web pages. The tool takes natural language descriptions as input and outputs automated browser interactions, making it ideal for use cases where manual browsing is tedious or time-consuming.

Canonical page: https://skillsregistry.net/skills/shanevcantwell-surf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shanevcantwell-surf-mcp

## Description

Enables visual browser automation through natural language descriptions, allowing AI to click, type, and navigate web pages by seeing the page.

## Trust

- **Trust score (0–1):** 0.25
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bstkpp29u5)
- **Repository:** <https://github.com/shanevcantwell/surf-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": "shanevcantwell-surf-mcp"
    }
  }
}
```

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