mcp

Gain visibility into the performance, availability, and health of your apps and infrastructure.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Gain visibility into the performance, availability, and health of your apps and infrastructure.

    How to connect

    How to connect mcp to Claude

    The server address to paste into Claude settings:

    https://monitoring.googleapis.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect mcp to ChatGPT

    The server address to paste into ChatGPT settings:

    https://monitoring.googleapis.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect mcp to Cursor

    The server address to paste into Cursor settings:

    https://monitoring.googleapis.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (9)

    Raw names from tools/list. Only developers need these.

    list_timeseriesLists time series data from the Google Cloud Monitoring API
    query_rangeEvaluate a PromQL query in a range of time
    get_alert_policyUse this as the primary tool to get information about a specific alerting policy. Alerting policies define the conditions under which you want to be notified about issues with your services. This is useful for understanding the details of a specific alert configuration.
    list_alert_policiesUse this as the primary tool to list the alerting policies in a Google Cloud project. Alerting policies define the conditions under which you want to be notified about issues with your services. This is useful for understanding what alerts are currently configured.
    get_alertUse this as the primary tool to get information about a specific alert. An alert is the representation of a violation of an alert policy. This is useful for understanding the details of a specific alert.
    list_alertsUse this as the primary tool to list the alerts in a Google Cloud project. An alert is the representation of a violation of an alert policy. This is useful for understanding current and past violations of an alert policy.
    list_metric_descriptorsUse this as the primary tool to discover the types of metrics available in a Google Cloud project. This is a good first step to understanding what data is available for monitoring and building dashboards or alerts.
    list_dashboardsUse this as the primary tool to retrieve a list of existing custom monitoring dashboards in a Google Cloud project. Custom monitoring dashboards let users view and analyze data from different sources in the same context. This is useful for understanding what custom dashboards are currently configured and available in a given project.
    get_dashboardUse this as the primary tool to retrieve a single specific custom monitoring dashboard from a Google Cloud project using the resource name of the requested dashboard. Custom monitoring dashboards let users view and analyze data from different sources in the same context. This is often used as a follow on to list_dashboards to get full details on a specific dashboard.