Provides extensive read-only access to Datadog's observability data for AI assistants and MCP-compatible clients.
Sponsored
This Model Context Protocol (MCP) server securely connects AI clients like Claude, Cursor, Gemini, and Codex to your Datadog environment. It offers an unparalleled suite of 96 read-only tools, providing comprehensive access to every observability pillar including logs, metrics, traces, monitors, dashboards, and security findings. Adhering to a "read everything, write nothing" philosophy, it ensures your AI can analyze and understand your infrastructure without the risk of making unintended modifications or silencing critical alerts.
Key Features
010 GitHub stars
02Supports various AI clients including Claude, Cursor, Gemini, and OpenAI's Codex.
03Quick and easy setup with `npx` and minimal configuration.
0496 read-only tools for comprehensive Datadog data access across all observability pillars.
05Strictly read-only operations to prevent AI from performing write actions or muting alerts.
06Covers Logs, APM, Metrics, Monitors, Dashboards, SLOs, Synthetics, Security, Infrastructure, RUM, and more.
Use Cases
01Empowering AI assistants to diagnose system issues by querying Datadog logs, metrics, and traces.
02Enabling AI-driven analysis of security findings and compliance posture without modification risks.
03Facilitating AI-powered reporting and insights generation from Datadog dashboards and SLOs.
