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
- 01Create browser automation tasks
- 02Check task status
- 03Dynamically update tools from a remote server
- 04Run locally over stdin or host over HTTP
Use cases
- 01Start a browser task for web research
- 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.
Tools
2Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| task | string | Yes | The 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.

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