Google Cloud MCP Server
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Integrations
Connects to Google Cloud services to provide context and tools for interacting with Google Cloud resources, including logging, monitoring, Spanner, and more.
Allows executing SQL queries against Spanner databases, listing available databases and tables, and exploring database schema.
Integration in development for interacting with Google Cloud Storage services.
Google Cloud MCP Server
A Model Context Protocol server that connects to Google Cloud services to provide context and tools for interacting with your Google Cloud resources.
Services
Supported services:
- Google Cloud Logging
- Google Cloud Monitoring
- Google Cloud Spanner
Servers in development:
- Google Cloud Trace
- Google IAM
- Google Cloud Compute
- Google Cloud Run
- Google Cloud Storage
Google Cloud Logging
Query and filter log entries from Google Cloud Logging:
- Query logs with custom filters
- Search logs within specific time ranges
- Format and display log entries in a readable format
Google Cloud Spanner
Interact with Google Cloud Spanner databases:
- Execute SQL queries against Spanner databases
- List available databases and tables
- Explore database schema
Google Cloud Monitoring
Retrieve and analyse metrics from Google Cloud Monitoring:
- Query metrics with custom filters
- Visualise metric data over time
- List available metric types
Google Cloud Trace
Analyse distributed traces from Google Cloud Trace:
- Retrieve traces by ID
- List recent traces with filtering options
- Find traces associated with logs
- Identify failed traces
- Use natural language to query traces (e.g., "Show me failed traces from the last hour")
Authentication
This server supports two methods of authentication with Google Cloud:
- Service Account Key File (Recommended): Set the
GOOGLE_APPLICATION_CREDENTIALS
environment variable to the path of your service account key file. This is the standard Google Cloud authentication method. - Environment Variables: Set
GOOGLE_CLIENT_EMAIL
andGOOGLE_PRIVATE_KEY
environment variables directly. This is useful for environments where storing a key file is not practical.
The server will also use the GOOGLE_CLOUD_PROJECT
environment variable if set, otherwise it will attempt to determine the project ID from the authentication credentials.
Installation
Authenticate to Google Cloud:
Configure the mcpServers
in your client:
Development
Starting the server
Development mode
Using with Smithery (soon)
This server can be deployed and used with Smithery. The server implements lazy loading of authentication, which means it will start immediately and defer authentication until it's actually needed. Authentication is still required for operation, but this approach prevents timeouts during server initialization.
NOTE: Smithery local server support is currently in development and may not yet available.
Troubleshooting
Server Timeout Issues
If you encounter timeout issues when running the server with Smithery, try the following:
- Enable debug logging by setting
debug: true
in your configuration - Ensure
lazyAuth: true
is set to defer authentication until it's actually needed - Ensure your credentials file is accessible and valid
- Check the logs for any error messages
Important: Authentication is still required for operation, but with lazy loading enabled, the server will start immediately and authenticate when needed rather than during initialization.
Authentication Issues
The server supports two methods of authentication:
- Service Account Key File: Set
GOOGLE_APPLICATION_CREDENTIALS
environment variable to the path of your service account key file - Environment Variables: Set
GOOGLE_CLIENT_EMAIL
andGOOGLE_PRIVATE_KEY
environment variables
If you're having authentication issues, make sure:
- Your service account has the necessary permissions
- The key file is properly formatted and accessible
- Environment variables are correctly set
This server cannot be installed
A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.