
Browser Use MCP Server
Browser Use MCP lets AI assistants run browser automation through local stdio or the separately configured Browser Use Cloud service.

About
Browser Use MCP lets AI assistants run browser automation through local stdio or the separately configured Browser Use Cloud service.
Key Features
- Control browser sessions from MCP-compatible AI tools.
- Use a local installation or delegate browser tasks to managed cloud infrastructure.
Use Cases
Navigate websites, collect page information and exercise browser workflows through an agent.
Limitations
Local runtime setup, model credentials and cloud billing depend on the selected deployment.
Sources
- Project documentation: https://docs.browser-use.com/open-source/customize/integrations/mcp-server
- Setup reference: https://docs.browser-use.com/cloud/guides/mcp-server
MCP Setup
Prerequisites
- Local: uv/uvx and Chrome or Chromium.
Access requirements
- Local: an OpenAI or Anthropic model API key.
- Cloud: Browser Use account and API key.
Client setup
Claude Code
Transport: stdio
claude mcp add browser-use -- uvx --from "browser-use[cli]" browser-use --mcp
Local deployment. Make the model key available to the server process.
Cursor
Transport: http
{
"mcpServers": {
"browser-use": {
"url": "https://api.browser-use.com/v3/mcp",
"headers": {
"x-browser-use-api-key": "YOUR_API_KEY"
}
}
}
}
Cloud deployment; uses Browser Use Cloud credentials.
Environment variables
OPENAI_API_KEY or ANTHROPIC_API_KEY (local deployment)
Setup docs: https://docs.browser-use.com/open-source/customize/integrations/mcp-server
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