// may the 4th be with you⚔️
browser-automationdeveloper-tools

302AI BrowserUse MCP Server

by 302ai

302AI BrowserUse MCP Server enables Claude Desktop browser to securely browse and interact with web content — AI web bro

A Model Context Protocol server that enables Claude Desktop to browse the web, likely allowing the AI to access and interact with web content.

github stars

8

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Natural language browser controlDynamic tool loading from remote serverMultiple deployment modes (local/remote)

best for

  • / AI assistants needing web browsing capabilities
  • / Automated web research and data collection
  • / Browser task automation through natural language
  • / Web testing and interaction workflows

capabilities

  • / Create browser automation tasks
  • / Query task execution status
  • / Control web browsers with natural language
  • / Perform automated web research
  • / Navigate and interact with websites
  • / Execute multi-step browser workflows

what it does

Enables Claude Desktop to control web browsers through natural language commands for automated web browsing and research tasks.

about

302AI BrowserUse MCP Server is an official MCP server published by 302ai that provides AI assistants with tools and capabilities via the Model Context Protocol. 302AI BrowserUse MCP Server enables Claude Desktop browser to securely browse and interact with web content — AI web bro It is categorized under browser automation, developer tools.

how to install

You can install 302AI BrowserUse MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

302AI BrowserUse MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

<p align="center">🤖 302AI BrowserUse MCP Server🚀✨</p>

<p align="center">An AI-powered browser automation server implementing Model Context Protocol (MCP) for natural language browser control and web research.</p> <a href="https://glama.ai/mcp/servers/@302ai/302_browser_use_mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@302ai/302_browser_use_mcp/badge" alt="302AI BrowserUse Server MCP server" /> </a> <p align="center"><a href="https://www.npmjs.com/package/@302ai/browser-use-mcp" target="blank"><img src="https://file.302.ai/gpt/imgs/github/20250102/72a57c4263944b73bf521830878ae39a.png" /></a></p > <p align="center"><a href="README_zh.md">中文</a> | <a href="README.md">English</a> | <a href="README_ja.md">日本語</a></p>

Previews

Here are some usage examples

Here is the list of supported tools

✨ 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

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.

FAQ

What is the 302AI BrowserUse MCP Server MCP server?
302AI BrowserUse MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for 302AI BrowserUse MCP Server?
This profile displays 27 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Discussion

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MCP server reviews

Ratings

4.527 reviews
  • Anaya Patel· Dec 24, 2024

    Strong directory entry: 302AI BrowserUse MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Shikha Mishra· Dec 8, 2024

    According to our notes, 302AI BrowserUse MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Amina Iyer· Oct 6, 2024

    We evaluated 302AI BrowserUse MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Advait Desai· Sep 25, 2024

    We wired 302AI BrowserUse MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Daniel Nasser· Sep 21, 2024

    According to our notes, 302AI BrowserUse MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Oshnikdeep· Sep 13, 2024

    I recommend 302AI BrowserUse MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Aisha Torres· Sep 13, 2024

    Strong directory entry: 302AI BrowserUse MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Advait Gupta· Aug 16, 2024

    302AI BrowserUse MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Xiao Lopez· Aug 12, 2024

    302AI BrowserUse MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ganesh Mohane· Aug 4, 2024

    Strong directory entry: 302AI BrowserUse MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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