Hosting

Google-managed remote

Transport

Streamable HTTP

Endpoint

https://monitoring.googleapis.com/mcp

Authentication

Google Cloud authentication: OAuth 2.0 using Application Default Credentials (ADC) in supported Google clients, or a client OAuth ID/secret or bearer token in compatible third-party clients. The principal needs mcp.tools.call plus the underlying product permissions; API key authentication is only available for services that explicitly support it.

Requirements

• A Google Cloud project and access to the target product/resource.
• Enable this MCP service and its underlying Google Cloud API as required by the product guide.
• An MCP client that supports Streamable HTTP.
• An identity with the MCP Tool User role (roles/mcp.toolUser) or equivalent mcp.tools.call permission, plus permissions for the underlying product operations.

Setup steps

1. Choose the correct global or regional endpoint for your data location; this catalog lists the documented endpoint.
2. In the Google Cloud project, enable the MCP service and the underlying product API if the product guide requires it.
3. Authenticate the client with Google Cloud ADC (simplest with Antigravity/Gemini CLI) or configure OAuth 2.0 credentials in a compatible client.
4. Grant the connecting identity roles/mcp.toolUser and only the product IAM roles needed for the intended operations.
5. Add monitoring.googleapis.com to the client as a Streamable HTTP MCP server and complete sign-in.
6. Refresh the client tool list and check that the tools match the product reference; availability may depend on permissions and selected toolset.

Nine read tools query time series/PromQL, alerts/policies, metric descriptors and dashboards. query_range evaluates PromQL over a range. OAuth scopes include Monitoring access; check project/IAM scope. Inventory contains no mutation tools.

• list_timeseries

  Lists time series data from the Google Cloud Monitoring API

  01
• query_range

  Evaluate a PromQL query in a range of time

  02
• get_alert_policy

  Use 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.

  03
• list_alert_policies

  Use 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.

  04
• get_alert

  Use 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.

  05
• list_alerts

  Use 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.

  06
• list_metric_descriptors

  Use 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.

  07
• list_dashboards

  Use 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.

  08
• get_dashboard

  Use 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.

  09

• official server catalog

  Official Google Cloud catalog lists this product as an available remote MCP server.

• official setup guide

  Google Cloud describes remote MCP client setup, Streamable HTTP transport, supported authentication options, and ADC setup.

• official authentication guide

  Google documents supported identity types and authorization requirements for Google Cloud MCP calls.

• official source

  Official Google Cloud MCP product reference/guide; checked 2026-10-28.

• official source

  Official Google Cloud MCP product reference/guide; checked 2026-10-28.

• official source

  Official Google Cloud MCP product reference/guide; checked 2026-10-28.

Documentation checked 2026-10-28. Connection has not been runtime tested.