Chrome DevTools MCP
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
Written by PopNx MCP from the maker’s information
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
These three are never merged into one score: opinions, measurements and popularity are different things.
Good for: People who want AI to finish whole web tasks on its own
Try asking your AI
Written by PopNx MCP from the maker’s information
Pick the AI app you use, then copy the settings.
You need
Open Claude Desktop → Settings → Connectors → Add custom connector, and paste this address
https://api.browser-use.com/v3/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"browser-use": {
"command": "uvx",
"args": [
"browser-use",
"--cli-mcp"
]
}
}
}Run this in your terminal
claude mcp add --transport http browser-use https://api.browser-use.com/v3/mcp --header 'X-Browser-Use-API-Key: your-value'Run this in your terminal
claude mcp add browser-use -- uvx browser-use --cli-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"browser-use": {
"url": "https://api.browser-use.com/v3/mcp",
"headers": {
"X-Browser-Use-API-Key": "your-value"
}
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"browser-use": {
"command": "uvx",
"args": [
"browser-use",
"--cli-mcp"
]
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"browser-use": {
"type": "http",
"url": "https://api.browser-use.com/v3/mcp",
"headers": {
"X-Browser-Use-API-Key": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"browser-use": {
"type": "stdio",
"command": "uvx",
"args": [
"browser-use",
"--cli-mcp"
]
}
}
}X-Browser-Use-API-Key secret required HTTP headerValues marked secret are keys to your account. Never share them or paste them into a chat.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 5, 2026
The registry name was verified against the domain browser-use.com (the registry checks domain ownership)
Code last changed today
Uses MIT
Responded in 1359 ms (HTTP 200)
No sign-in needed
Needs the server’s tool list first; this check starts in the next step
Compared only with servers in this prototype, not the whole registry.
It passed 4 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: X-Browser-Use-API-Key
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed today, and the latest version (0.13.11) reached the registry 15 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Chrome DevTools MCP, MCP Server Browser, Playwright MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Lets AI open a browser on your computer and click, type and read pages like a person. Made by Microsoft, the team behind Playwright.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
The open-source browser agent. Run it locally with any LLM, or on Browser Use Cloud: stealth browsers from $0.02/hour, top score (90.5%) on Stealth Bench V2.
Find an available slot, pick a date and time, handle the CAPTCHA, and book a driving test.
Explore more demos and prompts ↗
AI agents and crawlers: read browser-use.com/llms.txt for the product map (open source, Browser Harness, Cloud browsers, Agents API, pricing) and docs.browser-use.com/llms.txt for the documentation index. Browser Use is the open-source browser agent (Python and TypeScript), a $0.02 per browser-hour cloud browser with stealth, CAPTCHA solving and residential proxies, and a hosted agent API.
Scale browser automation with our hosted agent, stealth browsers, and infrastructure for profiles, recordings, and data policies.
New Google, GitHub, or Microsoft signups get $1 cloud credit.
Paste this prompt into Claude Code, Codex, Hermes, OpenClaw, or your favorite agent.
Install or upgrade browser-use to the latest stable version with uv using Python 3.12, run `browser-use skill install` to register the skill, and connect it to my browser. If setup or connection fails, follow https://github.com/browser-use/browser-harness/blob/main/install.md.
Run the Browser Use agent locally from Python, with your choice of model and a local or cloud browser:
1. Install Browser Use (Python >= 3.11):
With uv installed, run uv init --python 3.12 first if you're starting a new project.
uv add browser-use
2. Add your [OpenAI API key](https://platform.openai.com/api-keys) to `.env`:
# .env
OPENAI_API_KEY=your-key
For either optional Browser Use service, get a Browser Use API key.
3. Save this as `agent.py`:
import asyncio
from browser_use import Agent, Browser, ChatBrowserUse, ChatOpenAI from dotenv import load_dotenv
load_dotenv()
async def main(): llm = ChatOpenAI(model='gpt-5.6-luna', reasoning_effort='xhigh')
agent = Agent( task="Find the number of stars of the browser-use repo", llm=llm,
) history = await agent.run() print(history.final_result())
if name == "main": asyncio.run(main())
To use BU2, replace the ChatOpenAI line with the commented ChatBrowserUse line. The cloud-browser option works with either model.
4. Run it:
uv run agent.py
The agent opens a browser, looks up the repository, and prints its answer.
5. Run the same agent on a cloud browser (no Chrome to install; works in Docker, CI, and serverless):
Set BROWSER_USE_API_KEY (get a key), then uncomment the browser= line in agent.py and run it again:
agent = Agent(
task="Find the number of stars of the browser-use repo", llm=llm, browser=Browser(use_cloud=True), )
Cloud browsers cost $0.02 per browser-hour plus network traffic (pricing), and add stealth, residential proxies, CAPTCHA solving, and a live view URL. Same code, no other changes.
Maintained by Browser Use. Compatible with Claude.
Use Claude's browser toolset with Browser Use as the driver. Browser Use implements all 31 browser actions and can control a local browser, a Browser Use Cloud browser, or an existing remote browser over CDP. Bash is included in the Browser Use integration for processing data and writing files.
Requires an Anthropic SDK version that includes anthropic.tools.browser. Bash requires a Linux or macOS host with /bin/bash; use WSL on Windows. The snippet below runs inside an async function; see the quickstart for a complete script.
import os
from anthropic import AsyncAnthropic from browser_use.integrations.toolsets_for_claude import Bash, BrowserUse
task = 'Open example.com and report its page title.' driver = BrowserUse() # Or BrowserUse(use_cloud=True) bash = Bash(output_dir='outputs')
async with driver, AsyncAnthropic() as client: runner = client.beta.messages.tool_runner( model=os.environ['ANTHROPIC_MODEL'], max_tokens=32_768, max_iterations=100, tools=[driver, bash], messages=[{'role': 'user', 'content': task}], ) result = await runner.until_done()
Quickstart ↗ · Integration docs ↗
This very hard benchmark targets the hardest browser tasks. On easier tasks, even smaller models can achieve very high success rates. Results shown are from a 60-task subset of BU Bench V2.
Should I use the fully hosted cloud, CLI, or Python library?
The CLI and Python library can each connect to a local or cloud browser. A cloud browser hosts the browser; the fully hosted API runs the agent as well.
What's the best model to use?
We recommend BU2, our model optimized for browser automation: ChatBrowserUse(model='bu-2-0'). It uses BROWSER_USE_API_KEY; ChatBrowserUse() currently selects the same model.
The best choice depends on your tasks, latency, and budget. See the BU2 model card, benchmark, and supported models and pricing to compare options.
Can I use Claude / GPT / Gemini through ChatBrowserUse?
Yes. ChatBrowserUse accepts provider-prefixed model IDs through the