Datadog MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Datadog MCP or direct API to analyze logs, trigger alerts, fetch metrics, and investigate incidents through natural language.

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Datadog is a cloud monitoring and observability platform for applications and infrastructure. It helps teams detect issues and optimize performance by unifying metrics, logs, and traces.

42 Tools

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TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every Datadog action and event your agent gets out of the box.

Create Dashboard

Create a dashboard in Datadog.

Create downtime

Creates a new downtime in Datadog to suppress alerts during maintenance windows or planned outages.

Create event

Creates a new event in Datadog.

Create monitor

Creates a new Datadog monitor to track metrics, logs, or other data sources with configurable alerting thresholds and notifications.

Create SLO

Create a Service Level Objective (SLO) in Datadog.

Create Synthetic API Test

Create a synthetic API test in Datadog.

Create Webhook

Create a webhook in Datadog.

Delete Dashboard

Delete a dashboard in Datadog.

Delete monitor

Deletes a Datadog monitor permanently.

Get Dashboard

Get a specific dashboard from Datadog.

Get monitor

Retrieves detailed information about a specific Datadog monitor, including its current state, configuration, and any active downtimes.

Get Service Dependencies

Get service dependency mapping from Datadog APM.

Get Synthetics Locations

Tool to retrieve all available public and private locations for Synthetic tests in Datadog.

Get host tags

Retrieves all tags associated with a specific host in Datadog.

Get usage summary

Retrieves usage summary information from Datadog including API calls, hosts, containers, and other billable usage metrics.

List All Tags

List all tags from Datadog.

List API Keys

List API keys in Datadog.

List APM Services

List APM services from Datadog.

List AWS Integration

List AWS integrations in Datadog.

List dashboards

Lists all Datadog dashboards with basic information.

List events

Lists events from Datadog within a specified time range.

List hosts

Lists all hosts in your Datadog infrastructure with detailed information including metrics, tags, and status.

List Incidents

List incidents from Datadog.

List Log Indexes

Tool to retrieve a list of all log indexes configured in Datadog, including their names and configurations.

List active metrics

Discover metric names by listing actively reporting metrics since a given timestamp.

List monitors

Get all monitor details.

List Roles

List roles from Datadog organization.

List service checks

Lists service checks from Datadog.

List SLOs

List Service Level Objectives (SLOs) from Datadog.

List Synthetics Tests

List Synthetics tests from Datadog.

List Users

List users from Datadog organization.

List Webhooks

List webhooks from Datadog.

Mute Monitor

Mute a monitor in Datadog.

Query metrics

Queries Datadog metrics and returns time series data.

Search logs

Searches Datadog logs with advanced filtering capabilities.

Search Spans Analytics

Search and analyze span data with aggregations in Datadog.

Search Traces

Search for traces in Datadog APM.

Submit metrics

Submits custom metrics to Datadog.

Unmute Monitor

Unmute a monitor in Datadog.

Update Dashboard

Update a dashboard in Datadog.

Update host tags

Updates tags for a specific host in Datadog.

Update monitor

Updates an existing Datadog monitor with new configuration, thresholds, or notification settings.

SETUP GUIDE

Connect Datadog MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["datadog"],
  mcp: true,
});
Create a session scoped to Datadog and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Create a monitor to alert on high CPU usage",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Datadog request
SETUP GUIDE

Connect Datadog API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["datadog"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Datadog
3

Run Datadog tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Create a monitor to alert on high CPU usage" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Datadog tool calls through the session, and print the final answer

Why Use Composio?

AI Native Datadog Integration

  • Supports both Datadog MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Datadog data

Managed Auth

  • Built-in API key handling with secure storage
  • Central place to manage, scope, and revoke Datadog access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Datadog
  • Scoped, least privilege access to Datadog resources
  • Full audit trail of agent actions to support review and compliance

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Datadog requires connections to go through your own OAuth app. You register it once with Datadog, add its client ID and secret in the Composio dashboard, and from then on everyone connects by signing in to Datadog as usual. Composio handles the rest of the flow and the token refresh.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Datadog connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

When you connect a Datadog account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Datadog as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Exactly the ones Datadog lists on its consent screen when you connect. Review that screen before approving. If you connect a work account, your Datadog administrator may need to approve the app first, and you can revoke the access inside Datadog whenever you want.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Datadog connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

Composio refreshes Datadog tokens automatically, so day to day you do nothing. If you revoke access inside Datadog, or Datadog invalidates the session, the connection shows as expired in Composio and the agent stops acting on that account until you reconnect it, which is a single sign-in.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Datadog use. Paid plans add higher limits and team features. Your Datadog plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Datadog accounts).

With Composio, you connect Datadog once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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