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Set up the local BrowserStack MCP server

Install and configure the local BrowserStack MCP Server for your AI-enabled client.

The BrowserStack Model Context Protocol (MCP) Server is a secure local gateway that connects your AI-enabled clients, like VS Code with GitHub Copilot/Cline, Cursor, etc. directly to the BrowserStack real device cloud. It acts as a command-line bridge, allowing you to use natural language prompts to run tests on websites and mobile apps, including those hosted on your local machine or behind a corporate firewall.

This local-first approach ensures that you can test your development and staging environments seamlessly on thousands of real devices and browsers. By running the MCP server locally, your BrowserStack credentials and sensitive project details remain securely on your machine.

The BrowserStack local MCP server uses your BrowserStack username and access key for API key–based authentication. Credentials can be provided as environment variables (recommended) or stored in plain text in the MCP config file.

Installation of MCP server locally

Once you have the prerequisites, you can install the server in the following 2 ways:

  1. Globally, making it available across all your projects, or
  2. Project specific, specifically for a single project

Global installation

A global installation enables the MCP server for your user account in a specific client. This is the simplest way to get started. You can install the server in your preferred client using either a one-click installation or a manual setup.

One-click installation

We support a one-click installation for VS Code and Cursor. Before you begin, ensure your IDE is already installed.

Select an IDE below to visit its plugin page and follow the steps to complete the setup:

The following steps use GitHub Copilot as the AI assistant:

  1. Click the Install in VS Code link. Screenshot showing the BrowserStack MCP server one-click installation page with VS Code installation option
  2. You will be taken to the plugin’s page in VS Code. Click Install.
  3. In the input field that appears at the top of the IDE, enter your credentials as follows:
    • First, enter your BrowserStack username and press Enter.
    • Next, enter your Access Key and press Enter.
  4. To start the server, right-click the Gear icon on the plugin page and select Start Server.

Start the server Click the gear icon in the MCP Server plugin page and select Start Server.

Video: Installing & running the MCP server in VS Code with GitHub Copilot

The following steps use Cursor as the IDE:

  1. Click the Install in Cursor link. You will be redirected to the MCP server plugin page within the Cursor IDE.
  2. In the input field that appears on the IDE, enter your credentials as follows: enter your BrowserStack username and Access Key.
  3. Click Install.

Start the server Once you save your BrowserStack credentials, the BrowserStack MCP server automatically gets started. Screenshot of Cursor input fields prompting for BrowserStack username and access key credentials Video: Installing & running the MCP server in Cursor

Manual install

To install manually, you need to create a configuration file in a user-level directory. Since the exact path is different for each client, please choose your IDE below to see the specific instructions.

Within VS Code, the BrowserStack MCP server is installed to enable AI agents like GitHub Copilot and Cline. This process requires a configuration file; for example, on macOS, this file is located at ~/Library/Application Support/Code/User/mcp.json.

Follow the steps below to set up the MCP server configuration file in your VS Code project using GitHub Copilot as the AI assistant:

Click the tools icon in the GitHub Co-Pilot Activity Bar to open the Tools menu.

Screenshot showing the Tools icon location in GitHub Copilot Activity Bar in VS Code

To access tools related to Copilot within Visual Studio Code, you can use either of the following methods:

  • From the Activity Bar on Github Copilot chat: Click the Tools icon on the GitHub Copilot chat, to view the available options.

  • From the Command Palette: Alternatively, open the Command Palette by navigating to View > Command Palette from the top menu, or by using the keyboard shortcut Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS).

Screenshot showing the Tools menu options in VS Code with Add MCP Server option

Select Install from an NPM package.

Screenshot showing the NPM package installation option in VS Code

For the package name, enter @browserstack/mcp-server.

Screenshot showing the NPM package name input field where @browserstack/mcp-server should be entered

Enter your BrowserStack Username and Access Key when prompted, and press Enter.

Start the server

Now that the configuration is in place, you can start the server. In your mcp.json file, click the Start button to run the server. Screenshot showing the Start button in the mcp.json file to run the BrowserStack MCP server

Video: Installing the MCP server in VS Code

Follow the steps below to set up the MCP server configuration file in your VS Code project using Cline as the AI assistant:

  1. Click the Manage MCP Servers icon in the bottom navigation bar on Cline chat window.

  2. Click the gear icon on the resulting MCP Servers window

  3. Click the Configure MCP Servers button to open the cline_mcp_settings.json configuration file.

  4. Paste the following JSON into the file and update it with your BrowserStack credentials:

Configuration File
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Start the server

The MCP server starts automatically after you save the cline_mcp_settings.json file with your BrowserStack credentials. To confirm that the server is running, click the navigation bar in the Cline chat window and check that the toggle is on.

Video: Installing & running the MCP server using Cline

Follow these steps to set up the MCP server configuration file in your project for the Cursor IDE:

  1. Create the file: In your user root directory, create a file at the following path: .cursor/mcp.json. (The .cursor folder will be created automatically if it doesn’t already exist). An example of a user root directory is /Users/username/.cursor/mcp.json.
  2. Add the configuration: Paste the following content into the new mcp.json file:
mcp.json
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Start the server Once you save your BrowserStack credentials, the BrowserStack MCP server automatically gets started. Screenshot of Cursor input fields prompting for BrowserStack username and access key credentials

Video: Installing the MCP server in Cursor

The following steps use Claude as the IDE:

  1. Create the file: In your user level directory, create a file named claude_desktop_config.json.

  2. Add the configuration: Paste the following JSON into the file update it with your credentials:

claude_desktop_config.json
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Video: Installing the MCP server in Claude Desktop

Project specific installation

A project-specific installation enables the server only for a particular project. This method offers more granular control, and the configuration is stored within the project’s directory. Choose an IDE from the options below to see the setup instructions:

The following steps use VS Code as the IDE and Github Copilot as the AI assistant:

  1. Create the file: In your project’s root, create a file at .vscode named mcp.json.

  2. Add the configuration: Paste the following configuration into the file and add your credentials:

.vscode/mcp.json
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Start the server - VS Code (Github Co-pilot agent)

In your mcp.json file, click the Start button to run the server. Screenshot showing the Start button in VS Code's mcp.json file to initiate the BrowserStack MCP server

The following steps use Cursor as the IDE:

  1. Create the file: In your project’s root directory, create a file at .cursor/mcp.json.

  2. Add the configuration: Paste the following content into the file and update it with your BrowserStack credentials.

.cursor/mcp.json
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Start the server

The BrowserStack MCP server starts automatically after you save your BrowserStack credentials in the .cursor/mcp.json file. To confirm that the server is running, check the Cursor MCP window and see that the toggle is on.

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