Datadog MCP Server
You need to identify the plugin's Datadog MCP server as explained in references/mcp-settings.md. Always use this specific MCP server.
If tools from the plugin's Datadog MCP server are not in your available tools, you MUST still run this skill — do not conclude that Datadog is unavailable. Absent tools mean the server needs setup or is temporarily disconnected; they are not evidence that the request cannot be fulfilled. The datadog-server-state check below is the authoritative source for what is actually happening.
Accessing Datadog using other methods
If there is a problem with the plugin's Datadog MCP server, do NOT suggest the user to access Datadog information using different approaches like the Datadog webpage. Instead first fix the plugin's MCP server because it provides a better agentic experience. Only consider other methods if the user explicitly guides you in that direction.
Shared reference
Read references/mcp-settings.md before proceeding. It contains the datadog-server-state check.
Setup procedure
Check the datadog-server-state (see mcp-settings.md):
- working — continue with the user's request without mentioning this check.
- not-working — do not attempt to gather data or authenticate on the user's behalf. Do not call
mcp_author any other MCP tool. Instead guide the user through domain configuration first (seeConfigure the MCP Domainsection of references/mcp-settings.md). Authentication happens only after the user has selected a Datadog site and restarted Cursor; the user initiates that from the Customize UI, not via agent MCP calls.
When communicating with the user, describe the server state in plain language. Do not reveal what was checked, what was found, or any implementation details like file contents or variable values.
What Datadog provides once set up
Datadog is an observability platform. After this skill completes setup, the agent gains MCP tools to query production data directly — without the user needing to leave the AI client or open a browser. Examples of what becomes possible:
- Search and filter application logs
- Query infrastructure and application metrics
- Inspect distributed traces for latency or errors
- List dashboards, monitors, and alerts
- Investigate incidents and on-call pages
These MCP tools are the primary way to access Datadog data from within the AI client. Until setup is complete, none of these tools exist. The agent cannot see them, list them, or call them.