How to Use the Datadog MCP in Cursor

Q: How do I get my Cursor agent to use the Datadog tools?

First, add the MCP server to your mcp.json file in your project or home directory. Then, make sure you're using Cursor's Agent mode in the chat. The agent will automatically see the available Datadog tools and use them when your request requires it.

Q: Can I set up different Datadog configurations for different projects in Cursor?

You can. If you define the MCP server in .cursor/mcp.json inside a project folder, the tools will only be available for that project. For tools you want everywhere, put the configuration in /.cursor/mcp.json.

Write scripts that use live Datadog data. Pull incidents, logs, and metrics directly into your Cursor editor.

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Connect Datadog MCP to Cursor

Create your Vinkius account to connect Datadog to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate Code with Real Data

This is the main event. Tell your Cursor agent to write a script that interacts with Datadog. For example, "write a Python script to get details for incident INC-451." The agent will use the `get_incident` tool, see the real JSON response, and generate code that actually works with Datadog's API structure. No more writing code against stale, mocked data. The agent gets live context from your Datadog account and uses it to write accurate, working code. This MCP connection makes your agent a whole lot smarter about your infrastructure.

Script Your Incident Response

You can build operational scripts in seconds. Have your agent `list_monitors` for a specific service, then use `mute_monitor` to temporarily silence an alert that's firing during maintenance. The agent will write the code for you. This isn't just about reading data. You can take action. Use `create_event` to log a deployment in a script, or chain together `list_incidents` and `get_incident` to build a daily summary report. Your agent does the tedious parts.

Debug with Live Logs in Cursor

Stop switching to your browser to find logs. When you're fixing a bug, just ask your agent, "find error logs for the payments service in the last hour." It uses the `search_logs` tool and drops the results right into your editor as a comment. This keeps you focused. The agent can use the log content to help you understand the bug or even suggest a fix. It's like pair programming with someone who has instant access to all your application logs.

Setup guide

Set up Datadog MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Datadog MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Datadog transactions." If the MCP tools are loaded correctly, Cursor will call the Datadog tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "datadog-extended-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Datadog MCP in Cursor

First, add the MCP server to your `mcp.json` file in your project or home directory. Then, make sure you're using Cursor's Agent mode in the chat. The agent will automatically see the available Datadog tools and use them when your request requires it.

Yes, that's a perfect use case. Tell the agent something like "write a script to query our API latency." It will use the `query_metrics` tool to build and test the query, then generate the code to run it. You get a working script that uses real data.

This server gives the AI agent structured tools it knows how to use. Instead of just trying to guess API endpoints, the agent has a clear list of operations like `search_logs` and `get_incident`, which makes it much more reliable and effective.

You can. If you define the MCP server in `.cursor/mcp.json` inside a project folder, the tools will only be available for that project. For tools you want everywhere, put the configuration in `~/.cursor/mcp.json`.

The server handles your Datadog observability data—metrics, logs, and incidents. Vinkius infrastructure is built on zero-trust principles. Your data is processed in a temporary, sandboxed instance and is never written to disk or stored.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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