How to Use the Datadog MCP in Mastra AI

Q: How do I add Datadog tools to a Mastra AI agent?

Import the client and spread listTools() into your Mastra agent definition. Your agent instantly gains access to all 11 monitoring tools through the MCP Server.

Build resilient, self-healing Datadog workflows with Mastra AI agents that automatically handle alert routing and downtime scheduling.

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Connect Datadog MCP to Mastra AI

Create your Vinkius account to connect Datadog to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Datadog with Mastra AI

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Automated Incident Workflows with Mastra AI

`list_monitors` feeds active alert states directly into your Mastra AI state machine to trigger conditional branching logic. When a monitor enters an alert state, your agent evaluates the severity and routes the incident data. If a critical database alert fires, the workflow automatically schedules a maintenance window or escalates the issue. Mastra's built-in retry engine ensures these monitoring checks succeed even during network blips.

Scheduled Downtime Management via MCP Server

`list_downtimes` inspects existing maintenance windows before your deployment pipelines push new code. The MCP Server retrieves active schedules and scope tags to verify if alerts are already silenced. If a deployment requires quiet hours, your agent schedules a new window using the server's automation tools. This prevents false alarms from waking up your on-call engineering team during planned updates.

Autonomous Log Analysis and Metric Auditing

`search_logs` scans application log files for specific error patterns when triggered by an unexpected metric spike. Your agent correlates these log events with telemetry fetched via `query_metrics` to pinpoint root causes. Mastra AI executes this entire investigative loop in the background, summarizing the findings into an incident report. You get a fully audited timeline of the incident without manual terminal digging.

Setup guide

Set up Datadog MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Datadog tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "datadog-mcp-client",
  servers: {
    "datadog-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Datadog Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Datadog tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Datadog transactions"
);
console.log(result.text);

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Common questions about Datadog MCP in Mastra AI

Import the client and spread `listTools()` into your Mastra agent definition. Your agent instantly gains access to all 11 monitoring tools through the MCP Server.

Yes. You can build a workflow that detects a deployment failure and calls `mute_monitor` to silence alerts while resolving the issue.

Mastra uses its native workflow retry mechanism with exponential backoff. If a `query_metrics` call fails due to rate limits, it retries automatically.

Yes, Mastra supports human-in-the-loop workflows. Your agent staging a change to `list_slos` will pause and wait for your explicit sign-off.

Your agent only processes queries for log files and active downtime schedules. Vinkius encrypts all communication channels and handles credentials outside your execution environment.

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