Browser Use
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)
MCP server for AI web browser automation using Browserbase and Stagehand
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
BROWSERBASE_API_KEY, BROWSERBASE_PROJECT_ID, GEMINI_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": [
"-y",
"@browserbasehq/mcp-server-browserbase"
],
"env": {
"BROWSERBASE_API_KEY": "your-value",
"BROWSERBASE_PROJECT_ID": "your-value",
"GEMINI_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add browserbase --env BROWSERBASE_API_KEY=your-value --env BROWSERBASE_PROJECT_ID=your-value --env GEMINI_API_KEY=your-value -- npx -y @browserbasehq/mcp-server-browserbaseFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": [
"-y",
"@browserbasehq/mcp-server-browserbase"
],
"env": {
"BROWSERBASE_API_KEY": "your-value",
"BROWSERBASE_PROJECT_ID": "your-value",
"GEMINI_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"browserbase": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@browserbasehq/mcp-server-browserbase"
],
"env": {
"BROWSERBASE_API_KEY": "your-value",
"BROWSERBASE_PROJECT_ID": "your-value",
"GEMINI_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account browserbase, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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: BROWSERBASE_API_KEY, BROWSERBASE_PROJECT_ID, GEMINI_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2.1.1) reached the registry 14 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
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 do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
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
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.
This repository is archived and no longer maintained.
It was originally published as a reference implementation and is retained for historical purposes. It should not be interpreted as representative of Browserbase's current production services or implementation.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
This server provides cloud browser automation capabilities using Browserbase and Stagehand. It enables LLMs to interact with web pages, extract information, and perform automated actions.
This is a self-hostable version of the Browserbase hosted MCP server with the same tools and functionality. We recommend using the hosted version for the easiest setup.
This server exposes 6 tools that match the hosted Browserbase MCP server:
| Tool | Description | Input |
|---|---|---|
start | Create or reuse a Browserbase session | _(none)_ |
end | Close the current Browserbase session | _(none)_ |
navigate | Navigate to a URL | { url: string } |
act | Perform an action on the page | { action: string } |
observe | Observe actionable elements on the page | { instruction: string } |
extract | Extract data from the page | { instruction?: string } |
We currently support 2 transports for our MCP server, STDIO and SHTTP. We recommend you use SHTTP with our hosted MCP server to take advantage of the server at full capacity.
Use the Browserbase hosted MCP server at https://mcp.browserbase.com/mcp. This is the easiest way to get started -- we host the server and provide the LLM costs for Gemini, the best performing model in Stagehand.
For full setup instructions, see the Browserbase MCP documentation.
If your client supports SHTTP:
{
"mcpServers": { "browserbase": { "type": "http", "url": "https://mcp.browserbase.com/mcp" } } }
If your client doesn't support SHTTP:
{
"mcpServers": { "browserbase": { "command": "npx", "args": ["mcp-remote", "https://mcp.browserbase.com/mcp"] } } }
You can either use our server hosted on NPM or run it completely locally by cloning this repo.
Note: If you want to use a different model you have to add --modelName to the args and provide that respective key as an arg. More info below.
Go into your MCP Config JSON and add the Browserbase Server:
{
"mcpServers": { "browserbase": { "command": "npx", "args": ["@browserbasehq/mcp"], "env": { "BROWSERBASE_API_KEY": "", "BROWSERBASE_PROJECT_ID": "", "GEMINI_API_KEY": "" } } } }
That's it! Reload your MCP client and you're ready to go.
git clone https://github.com/browserbase/mcp-server-browserbase.git
cd mcp-server-browserbase npm install && npm run build
git clone https://github.com/browserbase/mcp-server-browserbase.git
cd mcp-server-browserbase docker build -t mcp-browserbase .
Then in your MCP Config JSON run the server:
{
"mcpServers": { "browserbase": { "command": "node", "args": ["/path/to/mcp-server-browserbase/cli.js"], "env": { "BROWSERBASE_API_KEY": "", "BROWSERBASE_PROJECT_ID": "", "GEMINI_API_KEY": "" } } } }
{
"mcpServers": { "browserbase": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "BROWSERBASE_API_KEY", "-e", "BROWSERBASE_PROJECT_ID", "-e", "GEMINI_API_KEY", "mcp-browserbase" ], "env": { "BROWSERBASE_API_KEY": "", "BROWSERBASE_PROJECT_ID": "", "GEMINI_API_KEY": "" } } } }
The Browserbase MCP server accepts the following command-line flags:
| Flag | Description |
|---|---|
--proxies | Enable Browserbase proxies for the session |
--verified | Enable Browserbase Verified Identity (Only for Scale Plan Users) |
--advancedStealth | Deprecated alias for --verified |
--keepAlive | Enable Browserbase Keep Alive Session |
--contextId | Specify a Browserbase Context ID to use |
--persist | Whether to persist the Browserbase context (default: true) |
--port | Port to listen on for HTTP/SHTTP transport |
--host | Host to bind server to (default: localhost, use 0.0.0.0 for all interfaces) |
--browserWidth | Browser viewport width (default: 1024) |
--browserHeight | Browser viewport height (default: 768) |
--modelName | The model to use for Stagehand (default: google/gemini-2.5-flash-lite) |
--modelApiKey | API key for the custom model provider (required when using custom models) |
--experimental | Enable experimental features (default: false) |
These flags can be passed directly to the CLI or configured in your MCP configuration file.
Note: These flags can only be used with the self-hosted server (npx @browserbasehq/mcp or Docker).
Stagehand defaults to using Google's Gemini 2.5 Flash Lite model, but you can configure it to use other models like GPT-4o, Claude, or other providers.
Important: When using any custom model (non-default), you must provide your own API key for that model provider using the --modelApiKey flag.
{
"mcpServers": { "browserbase": { "command": "npx", "args": [ "@browserbasehq/mcp", "--modelName", "anthropic/claude-sonnet-4.5", "--modelApiKey", "your-anthropic-api-key" ], "env": { "BROWSERBASE_API_KEY": "", "BROWSERBASE_PROJECT_ID": "" } } } }
_Note: The model must be supported in Stagehand. Check out the docs here._
Licensed under the Apache 2.0 License.
Copyright 2025 Browserbase, Inc.