# @ainative/browser-mcp

> @ainative/browser-mcp — ainative-studio-ainative-browser-mcp. Use this tool when you need to automate browser interactions, extract structured data, or validate web content for AI-driven tasks. It provides a server-based interface for executing actions like clicking and typing, and supports multi-step task execution and memory enrichment from web pages. Ideal for use cases requiring programmatic browser control and data extraction, with inputs including URLs and actions, and outputs including extracted data and validation results.

Canonical page: https://skillsregistry.net/skills/ainative-studio-ainative-browser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ainative-studio-ainative-browser-mcp

## Description

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

## Trust

- **Trust score (0–1):** 0.69
- **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/a5n0ukzwnt)
- **Repository:** <https://github.com/AINative-Studio/ainative-browser-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": "ainative-studio-ainative-browser-mcp"
    }
  }
}
```

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