Datadog
Integrates Datadog APIs into a Model Context Protocol host, enabling AI models to interact with Datadog services.
About
The Datadog server acts as a powerful bridge, dynamically generating callable tools from Datadog's comprehensive API specification (via a Postman Collection). This allows a Model Context Protocol (MCP) host, such as an LLM, to programmatically interact with a wide array of Datadog services. From managing monitors, dashboards, and incidents to sending logs and querying metrics, the server streamlines complex API interactions. It handles authentication via environment variables, supports site-specific configurations, and allows users to filter the exposed tools for a tailored experience, making Datadog's extensive capabilities accessible to intelligent agents and automated workflows.
Key Features
- Configurable with Datadog API/Application keys and site via environment variables.
- Filters exposed tools by top-level Postman collection folders for scope control.
- Dynamically generates tools from a Datadog Postman Collection schema.
- Provides friendly, disambiguated naming for Datadog API endpoints (e.g., `create_monitor_v1`).
- Supports all API parameters including path, query, body, and headers for tool calls.
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Use Cases
- Enable AI models to create, update, or query Datadog monitors programmatically.
- Allow LLMs to send logs, search log events, or aggregate analytics in Datadog.
- Automate Datadog dashboard and incident management through intelligent agents.
