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@ainative/browser-mcp

v1.1.1

Published

AINative Browser Agent MCP Server — 6 AI-powered browser automation tools for web interaction, structured data extraction, page validation, multi-step tasks, and memory enrichment. Auto-detects ZeroLocal vs Cloud.

Readme

@ainative/browser-mcp

AINative Browser Agent MCP Server. Gives AI agents browser automation capabilities — act on pages, extract structured data, validate content, run multi-step tasks, and enrich agent memory from the web.

Auto-detects ZeroLocal (localhost:8000) or AINative Cloud.

Install

npx @ainative/browser-mcp

Or install globally:

npm install -g @ainative/browser-mcp

Configure in Claude Code

{
  "mcpServers": {
    "browser": {
      "command": "npx",
      "args": ["@ainative/browser-mcp"],
      "env": {
        "AINATIVE_API_KEY": "ak_your_key_here"
      }
    }
  }
}

Tools

| Tool | Description | Credits | |------|-------------|---------| | browser_act | Perform an action on a web page (click, type, navigate) | 50 | | browser_extract | Extract structured data from a page | 75 | | browser_validate | Validate content or state on a page | 25 | | browser_task | Run a multi-step automation task | 200 | | browser_extract_to_table | Extract data and store in ZeroDB table | 100 | | browser_enrich_memory | Extract content and store in agent memory | 100 |

Authentication

Set one of the following:

# API key (recommended)
AINATIVE_API_KEY=ak_your_key_here

# OR username/password
[email protected]
AINATIVE_PASSWORD=your_password

Get your API key from ainative.studio/dashboard.

ZeroLocal (Local-First)

The server auto-detects ZeroLocal running on localhost:8000. If ZeroLocal is running, it is used automatically — no configuration needed. Otherwise it falls back to AINative Cloud.

To run ZeroLocal:

pip install zerodb-local
zerodb serve

Examples

Extract product data:

{
  "tool": "browser_extract",
  "arguments": {
    "url": "https://example.com/products",
    "extract_goal": "Extract all product names and prices"
  }
}

Perform an action:

{
  "tool": "browser_act",
  "arguments": {
    "url": "https://example.com",
    "instruction": "Click the sign in button",
    "max_steps": 5
  }
}

Store page content in agent memory:

{
  "tool": "browser_enrich_memory",
  "arguments": {
    "url": "https://example.com/blog/post",
    "extract_goal": "Extract key facts about the product",
    "memory_type": "semantic",
    "project_id": "your-project-id"
  }
}

Links