How to Use the UptimeRobot MCP in Claude Code

Q: How do I run UptimeRobot status checks in a CI/CD environment using Claude Code?

Simply add a step to your pipeline that executes listmonitors. The output is standard text, which you can then use grep or other CLI tools to parse for failure indicators.

Q: What if I need to update an uptime monitor via Claude Code?

Use the updateuptimemonitor tool in your script. This allows you to change a monitored URL's endpoint or its type (HTTP to Ping) without having to manually log into the web portal.

Q: How do I manage UptimeRobot logs using Claude Code?

You can execute a cleanup job that runs resetmonitorlogs for specific monitors. This is perfect for starting fresh data sets or ensuring your monitoring stats are clean for reporting purposes.

Run UptimeRobot health checks in CI/CD pipelines using Claude Code.

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Create your Vinkius account to connect UptimeRobot to Claude Code 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 UptimeRobot with Claude Code

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UptimeRobot MCP Server: Pipeline Health Checks

Write a simple shell script to check service availability. The script calls `list_monitors` and filters the output for any fail status codes. This provides immediate, actionable data right inside your CI/CD pipeline log.

Claude Code: Alert Management Scripting

You can automate contact setup using a command line script. For example, creating a new email target involves running `create_alert_contact` and piping the resulting ID into a subsequent cleanup or logging step.

MCP Server: Automated Monitor Lifecycle

When deploying a service, you can't forget monitoring. A script using Claude Code executes `create_uptime_monitor` with required details (name, URL, type), ensuring the new endpoint is monitored immediately upon deployment.

Setup guide

Set up UptimeRobot MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see uptimerobot-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest UptimeRobot transactions." It will automatically discover and invoke the available UptimeRobot tools.

Terminal

claude mcp add --transport http uptimerobot-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the UptimeRobot MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about UptimeRobot MCP in Claude Code

Simply add a step to your pipeline that executes `list_monitors`. The output is standard text, which you can then use `grep` or other CLI tools to parse for failure indicators.

Use the `update_uptime_monitor` tool in your script. This allows you to change a monitored URL's endpoint or its type (HTTP to Ping) without having to manually log into the web portal.

Yes. You can write a script that checks if an alert contact exists and, if not, calls `create_alert_contact` to add it programmatically before the pipeline finishes.

You can execute a cleanup job that runs `reset_monitor_logs` for specific monitors. This is perfect for starting fresh data sets or ensuring your monitoring stats are clean for reporting purposes.

The server handles monitor configuration data and alert contacts. The critical information includes monitored URLs, which must be handled securely when writing automated scripts.

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