# Browser MCP Server

> Use this tool when you need to automate web browsing tasks, extract content, or interact with web pages through natural language inputs. It solves problems such as data scraping, automated testing, and web interaction, providing outputs like extracted data, screenshots, or interaction results. It takes natural language commands as inputs and returns relevant data or performs specified actions.

Canonical page: https://skillsregistry.net/skills/pansin-browsermcp  
JSON: https://api.skillsregistry.net/v1/skills/pansin-browsermcp

## Description

A Model Context Protocol server for browser automation that uses Puppeteer to provide web browsing, content extraction, and interaction capabilities through natural language.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xzcc8e6r5o)
- **Repository:** <https://github.com/pansin/browserMCP>

## 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": "pansin-browsermcp"
    }
  }
}
```

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