302AI BrowserUse MCP Server logo

302AI BrowserUse MCP Server

Organization
302ai

302 BrowserUse MCP

Publisher302ai
Repository302_browser_use_mcp
LanguageJavaScript
Forks
8
Stars
8
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    302AI BrowserUse MCP Server exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    8 stars and 8 forks from the linked repository.

πŸ€– 302AI BrowserUse MCP ServerπŸš€βœ¨

Previews

Here are some usage examples

Here is the list of supported tools

✨ Features ✨

  • πŸ”§ 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

πŸš€ Tool List

Development

Install dependencies:

bash
npm install

Build the server:

bash
npm run build

For development with auto-rebuild:

bash
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

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:

json
{
  "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

json
{
  "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:

bash
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. πŸš€ Develops deep applications based on foundation models - we develop real AI products, not just simple chatbots
  3. πŸ’° Zero monthly fee, all features are pay-per-use, fully open, achieving truly low barriers with high potential.
  4. πŸ›  Powerful management backend for teams and SMEs - one person manages, many people use.
  5. πŸ”— All AI capabilities provide API access, all tools are open source and customizable (in progress).
  6. πŸ’‘ Strong development team, launching 2-3 new applications weekly, products updated daily. Developers interested in joining are welcome to contact us.

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Use 302AI BrowserUse MCP Server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once 302AI BrowserUse MCP Server is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add 302AI BrowserUse MCP Server as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the 302AI BrowserUse MCP Server MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "302ai-browseruse-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@302ai/browser-use-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the 302AI BrowserUse MCP Server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the 302AI BrowserUse MCP Server MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use 302AI BrowserUse MCP Server to help me with this task?
302AI BrowserUse MCP Server
Sure. I read it.
Here is what I found using 302AI BrowserUse MCP Server.

Frequently asked questions

What is the 302AI BrowserUse MCP Server MCP server used for?

302AI BrowserUse MCP Server is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use 302AI BrowserUse MCP Server MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use 302AI BrowserUse MCP Server with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use 302AI BrowserUse MCP Server MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With 302AI BrowserUse MCP Server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect 302AI BrowserUse MCP Server MCP to TypingMind?

302AI BrowserUse MCP Server runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does 302AI BrowserUse MCP Server MCP provide in TypingMind?

302AI BrowserUse MCP Server exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use 302AI BrowserUse MCP Server MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If 302AI BrowserUse MCP Server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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