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Readme

Google Cloud Observability MCP Server ☁️

This server connects Model Context Protocol (MCP) clients (like the Gemini CLI) to Cloud Observability APIs to search for logs, view metrics, return traces and view error reports. It acts as a local bridge, translating natural language commands from your CLI into the appropriate API calls to help you understand, manage, and troubleshoot your Google Cloud environment.

To learn more about the underlying services, see the official documentation:

Cloud Logging

Cloud Monitoring

Cloud Trace

Error Reporting

🚀 Getting Started

For prerequisites and setup instructions, please see the root README.

Authentication

You need to authenticate twice: once for your user account and once for the application itself.

# Authenticate your user account to the gcloud CLI
gcloud auth login

# Set up Application Default Credentials for the server.
# This allows the MCP server to securely make Google Cloud API calls on your behalf.
gcloud auth application-default login

Setting the Quota Project

All API requests made by this server require a Google Cloud project for billing and API quota management. This is known as the "quota project". This project will likely already be set in the gcloud CLI. The project selected as the quota project will need to have the APIs you wish to use in Observability enabled or you will see errors when attempting to use their related tools (e.g. you need the Cloud Logging API enabled in the quota project to use the list_log_entries tool).

If you need to control which project is used for quotas, run the following command (https://cloud.google.com/sdk/gcloud/reference/auth/application-default/set-quota-project):

# Set the project to be used for API quotas and billing by ADC
gcloud auth application-default set-quota-project YOUR_QUOTA_PROJECT_ID

This ensures that all API usage from this server is attributed to the correct project.

Usage

Once the server is configured, you can ask your MCP client natural language questions about your Google Cloud environment. Here are a few examples:

"Show me all logs with a severity of ERROR."
"What is the average CPU utilization for my GCE instances over the last hour?"
"List all traces from the past 30 minutes."
"Are there any new stack traces in my logs in the last day?"

Your MCP client will translate these questions into the appropriate tool calls to fetch the data from Google Cloud.

Tools Reference

The server exposes the following tools:

Service	Tool	Description
Logging	`list_log_entries`	Lists log entries from a project.
	`list_log_names`	Lists log names from a project.
	`list_buckets`	Lists log buckets from a project.
	`list_views`	Lists log views from a project.
	`list_sinks`	Lists log sinks from a project.
	`list_log_scopes`	Lists log scopes from a project.
Monitoring	`list_metric_descriptors`	Lists metric descriptors for a project.
	`list_time_series`	Lists time series data for a given metric.
	`list_alert_policies`	Lists the alert policies in a project.
Trace	`list_traces`	Searches for traces in a project.
	`get_trace`	Gets a specific trace in a project.
Error Reporting	`list_group_stats`	Lists the error groups for a project.

📄 Important Notes

This repository is currently in preview and may see breaking changes. This repository provides a solution, not an officially supported Google product. It is not covered under Google Cloud Terms of Service. It may break when the MCP specification, other SDKs, or when other solutions and products change. See also our Security Policy.

👥 Contributing

Please read our Contributing Guide to get started.

📝 License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.