mcpField
3
302_browser_use_mcp

302_browser_use_mcp

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github.com/302aiBrowser Automation9Updated 66w ago

About 302_browser_use_mcp

An MCP server for assigning browser automation tasks and checking their status through 302AI BrowserUse. It supports local stdin operation or hosting as a remote HTTP server, and dynamically refreshes its tool list from a remote server.

Key features

  1. 01Create browser automation tasks
  2. 02Check task status
  3. 03Dynamically update tools from a remote server
  4. 04Run locally over stdin or host over HTTP

Use cases

  1. 01Start a browser task for web research
  2. 02Check the progress of a browser automation task

MCP support

Exposes tools to create browser automation tasks and query their status to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"302_browser_use_mcp": {
"command": "npx",
"args": [
"-y",
"@302ai/browser-use-mcp"
],
"env": {
"302AI_API_KEY": "<302AI_API_KEY>"
}
}
}
}
Run commandnpx -y @302ai/browser-use-mcp
Environment variables to set
302AI_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@302ai/browser-use-mcp

Tools

2

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
taskstringYesThe task that you want to execute, natural language.

Details

From the project README

🤖 302AI BrowserUse MCP Server🚀✨

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

302AI BrowserUse Server MCP server

README image

中文 | English | 日本語

README image

Previews

Here are some usage examples README image

Here is the list of supported tools README image

✨ Features ✨

  • 🔧 Dynamic Loading - Automatically update tool list from remote server.
  • 🌐 Multi modes supported, you can use stdin mode locally, or host it as a remote HTTP server

🚀 Tool List

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

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 README image

Find Your 302AI_API_KEY here

Using Tutorials

Debugging

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

npm run inspector

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

✨ About 302.AI ✨

302.AI is an enterprise-oriented AI application platform that offers pay-as-you-go services, ready-to-use solutions, and an open-source ecosystem.✨

  1. 🧠 Integrates the latest and most comprehensive AI capabilities and brands, including but not limited to language models, image models, voice models, and video models.
  2. 🚀 Develops deep applications based on foundation models - we develop real AI products, not just simple chatbots
  3. 💰 Zero monthly fee, all features are pay-per-use, fully open, achieving truly low barriers with high potential.
  4. 🛠 Powerful management backend for teams and SMEs - one person manages, many people use.
  5. 🔗 All AI capabilities provide API access, all tools are open source and customizable (in progress).
  6. 💡 Strong development team, launching 2-3 new applications weekly, products updated daily. Developers interested in joining are welcome to contact us.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.