Enterprise

You run an Enterprise MCP Server to expose a fast, asynchronous MCP API with health monitoring and ServiceNow integration. It’s designed for production use, supports async operations, and provides a modular service architecture so you can monitor health and manage enterprise workflows from a single endpoint.

How to use

You interact with the MCP server through a client that connects to the MCP endpoint. By default, the server listens at http://localhost:3001. Use the health endpoints to verify readiness and liveness, and leverage the ServiceNow integration to create, update, and manage incidents and change requests from ServiceNow workflows. With health checks and logging in place, you can monitor system metrics, uptime, memory and CPU usage, and platform information as you operate enterprise-grade MCP services.

How to install

Prerequisites: install Python 3.11 or newer and the uv package manager.

Step 1: Install the server locally.

uv sync

Step 2: Activate the virtual environment.

source .venv/bin/activate

Step 3: Run the MCP server.

uv run enterprise-mcp

Additional setup and configurations

The server uses environment variables for configuration. Copy an example file to a real environment file and customize the settings that control hosting, health checks, and ServiceNow integration.

Common settings include hosting and port, debug mode, base URL for MCP, and health check intervals.

Examples of how you might start the server and access health status are provided below.

Available tools

Health Service

Monitors system health, uptime, memory usage, CPU usage, and platform information to ensure the MCP server is operating within expected parameters.

ServiceNow Service

Provides integration with ServiceNow for managing incidents and change requests from enterprise workflows.