# Browseagent MCP

> Use this tool when you need to automate web interactions or scrape website data, as it enables AI agents to control web browsers through the Model Context Protocol. It solves problems such as automated data extraction, web testing, and user simulation, accepting inputs like navigation commands and producing outputs like screenshots. Ideal for use cases requiring programmatic browser control, such as data mining or automated testing.

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

## Description

Enables AI agents to control web browsers through the Model Context Protocol, supporting navigation, clicking, typing, and screenshots.

## Trust

- **Trust score (0–1):** 0.36
- **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/mbfdonf340)
- **Repository:** <https://github.com/browseagent/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": "browseagent-mcp"
    }
  }
}
```

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