How to Use the Checkly MCP in Cursor

Q: How do I set up Checkly in Cursor?

Create a .cursor/mcp.json file in your root folder. Define the server path there, and the tools will show up in your Agent mode.

Q: Can I use Checkly in Cursor to check heartbeat status?

Yes, use listchecklyheartbeats to see the status of your cron monitors. Your agent will report back if any of them are failing.

Q: Does Checkly in Cursor show me my alert channels?

Yes, the listchecklyalertchannels tool lists your configured Slack or PagerDuty integrations. It ensures you know where your alerts are going.

Inject real-time Checkly monitoring data directly into your Cursor codebase.

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Connect Checkly MCP to Cursor

Create your Vinkius account to connect Checkly 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 Checkly with Cursor

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Debug production issues in Cursor

Feed live performance metrics straight into your editor's context. When you call `get_check_performance_metrics`, the agent reads the response and suggests code fixes based on real response times. This stops the cycle of copying and pasting logs. Your editor knows exactly what the server is doing because it sees the live monitor output.

Trigger production tests within Cursor

Run your E2E suite from the command palette or chat window. Triggering `trigger_check_run` lets you confirm a fix works in production without leaving your IDE. It puts your deployment validation inside your coding loop. You know your code is solid before you even commit.

Audit your monitor inventory in Cursor

Map your existing checks to your project structure easily. Using `list_checkly_checks` provides a full list of your current API and browser tests as context for the AI. It keeps your documentation aligned with your actual monitoring setup. You can see your `list_check_groups` at a glance while writing new features.

Setup guide

Set up Checkly 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 Checkly 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 Checkly transactions." If the MCP tools are loaded correctly, Cursor will call the Checkly tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Checkly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Checkly MCP in Cursor

Create a `.cursor/mcp.json` file in your root folder. Define the server path there, and the tools will show up in your Agent mode.

Yes, use `list_checkly_heartbeats` to see the status of your cron monitors. Your agent will report back if any of them are failing.

Yes, the `list_checkly_alert_channels` tool lists your configured Slack or PagerDuty integrations. It ensures you know where your alerts are going.

Your API tokens are stored locally on your machine and never shared with the editor's cloud service. Only the requested monitoring data is passed to the AI.

The server only handles your account-level metadata, check configurations, and performance logs. It does not touch your actual source code files.

Use it with your favorite AI tools

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

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