Google Cloud Monitoringvf.sr
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Query metrics, PromQL, alerts, alert policies and dashboards in Google Cloud Monitoring from your assistant.
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mcp.tc/i/cloud-monitoringlisting.about
Connects to the Cloud Monitoring API for a Google Cloud project. You can list time series, run PromQL range queries, discover metric descriptors, inspect alerts and alert policies, and read custom dashboards. All nine tools are read-only.
Runs as a hosted streamable HTTP endpoint at monitoring.googleapis.com/mcp. Access is controlled by Google OAuth 2.0 and IAM permissions on the target project, so the signed-in account needs suitable Cloud Monitoring read roles.
listing.can
- List time series data with filters and aggregation
- Run PromQL queries over a time range
- List and inspect alert policies
- List and inspect alerts raised by policy violations
- Discover available metric descriptors in a project
- List and read custom monitoring dashboards
listing.tools 9
list_timeserieslisting.hint.roList time series data from the Cloud Monitoring API with filter and aggregation options.
query_rangelisting.hint.roEvaluate a PromQL query over a time range.
get_alert_policylisting.hint.roGet details of a specific alerting policy.
list_alert_policieslisting.hint.roList alerting policies in a Google Cloud project.
get_alertlisting.hint.roGet details of a specific alert, a violation of an alert policy.
list_alertslisting.hint.roList current and past alerts in a project.
list_metric_descriptorslisting.hint.roDiscover the metric types available in a project.
list_dashboardslisting.hint.roList custom monitoring dashboards in a project.
get_dashboardlisting.hint.roRetrieve a single custom monitoring dashboard by resource name.
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List the active alerts in my project my-prod-project
Show CPU utilization for my Compute Engine instances over the last hour
Which alert policies are configured in my-prod-project?
Run a PromQL query for request rate over the last 6 hours
listing.setup.h
listing.setup.oauth
Claude Code
- Run this in a terminal, in your project folder:
claude mcp add --transport http cloud-monitoring https://monitoring.googleapis.com/mcp- Start Claude Code, type
/mcp, pick cloud-monitoring and choose Authenticate. A browser window opens for the Google Cloud sign-in.
Add --scope user to make it available in every project, not just this one.
Claude Desktop
- Open Settings → Connectors and click Add custom connector.
- Name it Google Cloud Monitoring and paste this URL:
https://monitoring.googleapis.com/mcp- Click Add, then Connect, and sign in when Google Cloud asks.
Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.
claude.ai
- Open the connector form on claude.ai. This button fills in the name and URL for you:
- Check that the URL reads
https://monitoring.googleapis.com/mcpand click Add. - Click Connect and sign in when Google Cloud asks.
Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.
ChatGPT
- On chatgpt.com, open Settings → Security and login and turn on Developer mode.
- Go to
chatgpt.com/pluginsand click + to create an app for a remote MCP server. - Paste
https://monitoring.googleapis.com/mcpas the server URL and choose OAuth. ChatGPT sends you to Google Cloud to sign in.
Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.
Cursor
Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):
{
"mcpServers": {
"cloud-monitoring": {
"url": "https://monitoring.googleapis.com/mcp"
}
}
}Cursor shows Needs login next to the server. Click it to sign in.
VS Code
Install in VS Code a11y.new_tab
Or from a terminal:
code --add-mcp '{"name":"cloud-monitoring","type":"http","url":"https://monitoring.googleapis.com/mcp"}'Or commit it to the repo in .vscode/mcp.json:
{
"servers": {
"cloud-monitoring": {
"type": "http",
"url": "https://monitoring.googleapis.com/mcp"
}
}
}VS Code asks you to sign in the first time the server starts.
Devin Desktop
- Add it to
~/.config/devin/mcp_config.json(macOS and Linux) or%APPDATA%\devin\mcp_config.json(Windows):
{
"mcpServers": {
"cloud-monitoring": {
"serverUrl": "https://monitoring.googleapis.com/mcp"
}
}
}- Refresh the MCP server list in Cascade and sign in when asked.
Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.
Codex
codex mcp add cloud-monitoring --url https://monitoring.googleapis.com/mcp
codex mcp login cloud-monitoringOr edit ~/.codex/config.toml directly:
[mcp_servers.cloud-monitoring]
url = "https://monitoring.googleapis.com/mcp"Gemini CLI
gemini mcp add --transport http cloud-monitoring https://monitoring.googleapis.com/mcpThen, inside Gemini CLI, run /mcp auth cloud-monitoring to sign in.
This adds it to the current project. Add -s user to use it everywhere.
Any client
Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.
{
"mcpServers": {
"cloud-monitoring": {
"type": "http",
"url": "https://monitoring.googleapis.com/mcp"
}
}
}Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.
Client only starts local servers? Bridge it with npx -y mcp-remote https://monitoring.googleapis.com/mcp.
listing.faq
Can I paste mcp.tc/i/cloud-monitoring into my MCP client?
No. mcp.tc links are pages, not server addresses. Connect with https://monitoring.googleapis.com/mcp, so your client talks to Google Cloud Monitoring directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.
Does Google Cloud Monitoring need an API key or a sign-in?
Yes, you need a Google Cloud account. The first time your client connects, it opens Google Cloud's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.
Is Google Cloud Monitoring a remote or a local server?
Remote. Google Cloud hosts it at https://monitoring.googleapis.com/mcp, and it speaks Streamable HTTP. There's nothing to install.
What can Google Cloud Monitoring do?
It has 9 tools, including list_timeseries, query_range and get_alert_policy. You can list time series data with filters and aggregation, run PromQL queries over a time range and list and inspect alert policies.
Which clients can use it?
Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.
Who wrote this page?
mcp.tc's robot read Google Cloud Monitoring's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.
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