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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
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.
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.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★27 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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