Britive's MCP Server enables AI agents and users to interact with the Britive platform. Britive's MCP server exposes several tools that enable users and AI agents to interact with the Britive platform for dynamic access, query configurations, reporting, and access activity.

To learn more about MCPs, see Get Started with MCP.

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Prerequisites

• Python version 3.10 or higher. Python downloads.
• Ensure you have the latest version of Git installed and access to the repository. Download git from the Git downloads.
• Any MCP client. For example: Claude desktop, VS Code Copilot

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Setting up the Britive MCP Server

1. Clone the GitHub repository that has the MCP server.

git clone https://github.com/britive/mcp-server.git

2. Change directory to mcp-server

cd mcp-server

3. Create a virtual environment

python -m venv <virtual_env_name>

4. Activate the virtual environment

• Windows

  <virtual_env_name>\Scripts\activate

• Linux

  source <virtual_env_name>/bin/activate

5. Install Python packages (dependencies)

pip install -r requirements.txt

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Configuring your MCP client and Authentication:

Authentication to the Britive platform can be performed using the Britive CLI or a Static Token

• Option 1: CLI login using PyBritive (Recommended):

1. Install the PyBritive CLI if not installed. For more information, see PyBritive Documentation

2. Configure the tenant, if you have not configured it already, using the following command. To find out more about how to enter the tenant name, see PyBritive: Tenant selection logic:

   pybritive configure tenant

3. Log in to PyBritive:

   pybritive login

4. Log in using the following command if you have multiple tenants:

   pybritive login --tenant=<your_tenant_name>

5. Log in directs you to the Britive login page, where you can enter your credentials.

6. Modify your MCP JSON file to configure the Britive MCP.

Note:
For Windows, use backslash (\\).
For macOS/Linux, use a forward slash (/) in the path.

{
  "servers": {
    "britive": {
      "command": "C:\\Users\\YourName\\mcp-server\\venv\\Scripts\\python.exe",
      "args": [
        "C:\\Users\\YourName\\mcp-server\\britive_mcp_tools\\core\\mcp_runner.py"
      ],
      "env": {
        "PYTHONPATH": "C:\\Users\\YourName\\mcp-server",
        "BRITIVE_TENANT": "your_tenant_name"
      }
    }
  }
}

Where:

command	Full path to the Python executable
args	Full path to the britive_mcp_tools\core\mcp_runner.py module.
PYTHONPATH	Set the Python path to the mcp-server directory (repository)
BRITIVE_TENANT	Your tenant on Britive. This tenant name must match the name used in the PyBritive CLI

• Option 2: Login using a static token:

1. Generate a static token from Britive UI. For more information, see API Tokens.
2. Copy the token to use in the MCP JSON file.
3. Modify your MCP JSON file to configure the Britive MCP.

Note:
For Windows, use backslash (\\).
For macOS, use a forward slash (/) in the path.

{
  "servers": {
    "britive": {
      "command": "C:\\Users\\YourName\\mcp-server\\venv\\Scripts\\python.exe",
      "args": [
        "C:\\Users\\YourName\\mcp-server\\britive_mcp_tools\\core\\mcp_runner.py"
      ],
      "env": {
        "PYTHONPATH": "C:\\Users\\YourName\\mcp-server",
        "BRITIVE_TENANT": "your_tenant_name",
        "BRITIVE_STATIC_TOKEN": "your_static_token_here"
      }
    }
  }
}

Where:

command	Full path to the Python executable
args	Full path to the britive_mcp_tools\core\mcp_runner.py module.
PYTHONPATH	Set the Python path to the mcp-server directory (repository)
BRITIVE_TENANT	Your tenant on Britive. Do not use the entire FQDN for the subdomain. For example, for https://super-customer.test.aws.britive-corp.com, use super-customer.test.aws as a tenant subdomain.
BRITIVE_STATIC_TOKEN	Static token created in the previous step

Connect to the MCP server using a client application.

For more information, see Connect to Local MCP Servers.