302AI BrowserUse

by 302ai

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664 downloads
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About

An AI-powered browser automation server for natural language control and web research.

Details

Author
302ai
Downloads
664
Categories
Web Scraping, Automation, Other, AI
Tags
#web-research

- Dynamic loading of tool list from remote server.
- Supports both local stdin and remote HTTP server modes.
- Provides tools for creating and querying browser automation tasks.
- Easy integration with Claude Desktop, Cherry Studio, and ChatWise.
- Debuggable via the MCP Inspector.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name 302AI BrowserUse
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Add the server configuration to your MCP client (e.g., Claude Desktop, Cherry Studio, or ChatWise) using the npx command with the @302ai/browser-use-mcp package and set your 302AI_API_KEY environment variable. You can run it locally in stdin mode or host it as a remote HTTP server.

createBrowserAgentTask

Create a browser agent task, and return the task id. This agent can handle continuous complex tasks, and you do not need to break down the tasks. Just input them directly. Clearly return the task_id to the user for use in the next request.

getBrowserAgentTaskResult

Get the result of the browser agent task. If no results are obtained, clearly return the task_id to the user for use in the next request.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "302ai browseruse": {
            "302ai-browser-use-mcp": {
                "command": "npx",
                "args": [
                    "-y",
                    "@302ai/browser-use-mcp"
                ],
                "env": {
                    "302AI_API_KEY": "YOUR_API_KEY_HERE"
                }
            }
        }
    }
}

McpServers

{
    "302ai-browser-use-mcp": {
        "command": "npx",
        "args": [
            "-y",
            "@302ai/browser-use-mcp"
        ],
        "env": {
            "302AI_API_KEY": "YOUR_API_KEY_HERE"
        }
    }
}

An AI-powered browser automation server for natural language control and web research.

An AI-powered browser automation server implementing Model Context Protocol (MCP) for natural language browser control and web research.

- πŸ”§ Dynamic Loading - Automatically update tool list from remote server.
- 🌐 Multi modes supported, you can usestdinmode locally, or host it as a remote HTTP server

- Create Browser Automation Task
-
Query Browser Task Status

To use with Claude Desktop, add the server config:

On MacOS:~/Library/Application Support/Claude/claude_desktop_config.json
On Windows:%APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "302ai-browser-use-mcp": { "command": "npx", "args": ["-y", "@302ai/browser-use-mcp"], "env": { "302AI_API_KEY": "YOUR_API_KEY_HERE" } } } }

To use with Cherry Studio, add the server config:

{ "mcpServers": { "Li2ZXXJkvhAALyKOFeO4N": { "name": "302ai-browser-use-mcp", "description": "", "isActive": true, "registryUrl": "", "command": "npx", "args": [ "-y", "@302ai/browser-use-mcp" ], "env": { "302AI_API_KEY": "YOUR_API_KEY_HERE" } } } }

To use with ChatWise, copy the following content to clipboard

{ "mcpServers": { "302ai-sandbox-mcp": { "command": "npx", "args": ["-y", "@302ai/browser-use-mcp"], "env": { "302AI_API_KEY": "YOUR_API_KEY_HERE" } } } }

Go to Settings -> Tools -> Add button -> Select Import from Clipboard

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using theMCP Inspector, which is available as a package script:

The Inspector will provide a URL to access debugging tools in your browser.

302.AIis an enterprise-oriented AI application platform that offers pay-as-you-go services, ready-to-use solutions, and an open-source ecosystem.✨
- 🧠 Integrates the latest and most comprehensive AI capabilities and brands, including but not limited to language models, image models, voice models, and video models.
- πŸš€ Develops deep applications based on foundation models - we develop real AI products, not just simple chatbots
- πŸ’° Zero monthly fee, all features are pay-per-use, fully open, achieving truly low barriers with high potential.
- πŸ›  Powerful management backend for teams and SMEs - one person manages, many people use.
- πŸ”— All AI capabilities provide API access, all tools are open source and customizable (in progress).
- πŸ’‘ Strong development team, launching 2-3 new applications weekly, products updated daily. Developers interested in joining are welcome to contact us.

Connect Claude Code to Perplexity Comet browser for agentic web browsing, deep research, and real-time task monitoring

Interact with Perplexity.ai using Puppeteer without an API key. Requires Node.js and stores chat history locally.

One API key gives agents access to 80+ tools: web search, deep search, browser automation, screenshots, 400+ LLM models, image generation, text-to-speech, sound effects, and phone verification. Pay-per-use with spend governance built in.

Web scraping, crawling, and change detection with AI

Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.

Leverage Notte Web AI agents & cloud browser sessions for scalable browser automation & scraping workflows

AI-powered browser automation MCP server β€” navigate sites, fill forms, extract data, and handle logins via Claude Code CLI

A deep research agent powered by Crew AI and the LinkUp API.

AI powered automation toolkit which acts as an agent that discovers MCP servers for you. Point it at GitHub/npm/configure your own discovery, let GPT or Claude analyze the API or MCP or any tool, get ready-to-ship plugin configs. Zero manual work.

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