@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.
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@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-mcpOr install globally:
npm install -g @ainative/browser-mcpConfigure 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_passwordGet 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 serveExamples
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"
}
}