Datadog

About

This tool provides an interface for interacting with the Datadog API to retrieve monitoring data from your infrastructure, offering easy access to monitor states and Kubernetes logs through a simple Python-based interface. It leverages the FastMCP framework for tool management, featuring a modular design with separate functions for monitors and logs, full typing support with Python type hints, and API abstraction for Datadog API calls with error handling.

Key Features

• Extracts and formats error logs from Kubernetes clusters.
• Utilizes the FastMCP framework for tool management.
• Fetches and analyzes specific monitor states from Datadog.
• Wraps Datadog API calls with error handling.
• Includes full Python typing support for type safety.

Use Cases

• Monitor status and performance of infrastructure components through Datadog monitor states.
• Analyze Kubernetes logs to identify and troubleshoot issues within your clusters.
• Integrate Datadog monitoring data into AI models via the Model Context Protocol (MCP).