> ## Documentation Index
> Fetch the complete documentation index at: https://docs.xpander.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Datadog

> Learn how to integrate AI agents with Datadog using xpander.ai. Create intelligent observability workflows that automatically detect anomalies, correlate incidents across your stack, and trigger remediation actions.

## About Datadog

Datadog offers a Software-as-a-Service (SaaS) platform that provides observability across an organization's entire technology stack.

Key features include:

* **Infrastructure Monitoring**: Real-time tracking of servers, containers, databases, and cloud services.

* **Application Performance Monitoring (APM)**: End-to-end tracing and diagnostics for applications.

* **Log Management**: Centralized logging with search and analytics capabilities.

* **Security Monitoring**: Threat detection and compliance monitoring.

* **User Experience Monitoring**: Frontend performance metrics and session data.

* **Network Monitoring**: Visibility into network traffic and device performance.

## Authentication Options

Below are possible authentication options you can choose:

<Tabs>
  <Tab title="API Access">
    ### Generate a Datadog API Key

    1. Log in to your [Datadog account](https://app.datadoghq.com/). Make sure you log in to the correct Datadog region for your account.

    2. In the sidebar, click on **Go to**, type **API Keys**, and select **API Keys** from the search results.

           <img src="https://mintcdn.com/xpanderai-099931d1/CB_bxeO1SyYhYcc1/images/connectors/datadog/img_1.png?fit=max&auto=format&n=CB_bxeO1SyYhYcc1&q=85&s=03530243be21a3dd9bb7ada7a01d8cfb" alt="Img 1" width="2222" height="1130" data-path="images/connectors/datadog/img_1.png" />

    3. You’ll now see the API keys for your Datadog account.

           <img src="https://mintcdn.com/xpanderai-099931d1/CB_bxeO1SyYhYcc1/images/connectors/datadog/img_2.png?fit=max&auto=format&n=CB_bxeO1SyYhYcc1&q=85&s=c653ef4c86b99c8d47accd60e853d78c" alt="Img 2" width="2249" height="1165" data-path="images/connectors/datadog/img_2.png" />

    4. To access the Datadog API, you’ll also need an application key.

    5. In the sidebar, click on **Application Keys**, then click **New Key**.

    6. Give your key a name and assign the necessary scopes based on your use case.

           <img src="https://mintcdn.com/xpanderai-099931d1/CB_bxeO1SyYhYcc1/images/connectors/datadog/img_3.png?fit=max&auto=format&n=CB_bxeO1SyYhYcc1&q=85&s=3ef2f90f12b50fb24a77d5fc3feece1b" alt="Img 3" width="2282" height="1157" data-path="images/connectors/datadog/img_3.png" />

    ### Integrate Datadog into xpander.ai

    1. In your xpander.ai dashboard, go to the **Connectors** section in the sidebar.
    2. Select **Datadog** from the available integrations.
    3. Click **Enable**.
    4. Enter a **connector name**, e.g., "xpander-datadog".
    5. Choose **Integration User** as the authentication mode.
    6. Select **API Key** as the authentication method.
    7. Paste your Datadog API key into the provided field.
    8. Set the **Auth Type** to **Custom**.
    9. In the **Custom header name** field, enter `DD-API-KEY`.
    10. Paste your Datadog application key into the **DD-APPLICATION-KEY** field.
    11. Under **Interface specific settings**, enter the base URL: `https://api.datadoghq.{domain}/`, replacing **{domain}** with the domain corresponding to your Datadog account region.
    12. Save the configuration.

            <img src="https://mintcdn.com/xpanderai-099931d1/CB_bxeO1SyYhYcc1/images/connectors/datadog/img_4.png?fit=max&auto=format&n=CB_bxeO1SyYhYcc1&q=85&s=f6012ef02789a25cb9bdb9f4e0791b55" alt="Img 4" width="3568" height="1803" data-path="images/connectors/datadog/img_4.png" />
  </Tab>
</Tabs>

## Integration of Datadog into AI Agent

Once you've configured your Datadog account with the authentication option(s) described above, you can integrate it into your AI agent with xpander.ai:

1. In your xpander.ai dashboard, go to the **Agent Configuration** tab and select **Tools**, then click **Add Tools**.
2. Select **Connectors**.
3. Choose **Datadog** with the same **connector name** you configured in the previous section (e.g., xpander-datadog).
4. Select the available Datadog operations that suit your use case.

<img src="https://mintcdn.com/xpanderai-099931d1/CB_bxeO1SyYhYcc1/images/connectors/datadog/img_5.png?fit=max&auto=format&n=CB_bxeO1SyYhYcc1&q=85&s=d0dec3883a0e166791fb5ce1d7c5bb47" alt="Img 5" width="2390" height="1195" data-path="images/connectors/datadog/img_5.png" />

## Expose Datadog as MCP Server

Alternatively, you can also expose your Datadog account as an MCP server. To do so:

1. Go to the **Connectors** section in the sidebar of your xpander.ai dashboard.
2. Select **Datadog** with the same **connector name** you configured in the previous section (e.g., xpander-datadog).
3. Click **MCP Configuration**.
4. Enter the MCP configuration into the appropriate settings of the client app you want to use (e.g., Cursor, Windsurf, Claude Desktop, etc.).

<img src="https://mintcdn.com/xpanderai-099931d1/CB_bxeO1SyYhYcc1/images/connectors/datadog/img_6.png?fit=max&auto=format&n=CB_bxeO1SyYhYcc1&q=85&s=679f4c25d9ba5e789180bd238294f0fa" alt="Img 6" width="2392" height="1221" data-path="images/connectors/datadog/img_6.png" />

## AI Agent Datadog Prompt Library

Below are possible prompts or use cases you can try after integrating Datadog into your xpander AI agent:

```
Could you create a new dashboard for monitoring {application_name} performance metrics?
```

```
Can you set up a monitor to alert us when {service_name} latency exceeds {threshold_value} milliseconds?
```

```
Could you temporarily mute alerts for {host_name} during our scheduled maintenance window on {date}?
```

```
Could you integrate our AWS {account_name} account to monitor our EC2 and Lambda resources?
```

## Related Resources

* [Understanding Model Context Protocol (MCP)](/guides/deploy/mcp)
* [Datadog API Documentation](https://docs.datadoghq.com/api/latest/?tab=java)