Google Cloud MCP Server
Connect GCP projects. Monitor Cloud Run services, query BigQuery analytics, and check Cloud Logging details instantly.
Quick Answer / TL;DR
The Google Cloud MCP server establishes a secure, local or remote JSON-RPC 2.0 communication tunnel, allowing AI models (like Claude or Cursor) to automatically discover and execute capabilities (tools, prompts, and resources) within the Google Cloud ecosystem with extremely low latency.
Key Takeaways
- Check Cloud Run service revisions
- Execute rapid analytics on BigQuery datasets
- Audit project IAM permissions histories
Core Integration Concept
Connecting the model to Google Cloud bypasses complex setup. The LLM can auto-discover what endpoints are active, what input variables are expected, and how answers will be delivered.
Verified Use Cases
Setup Overview
Connection Setup Checklist
- Prepare Credentials: Obtain your GCP Service Account Credentials JSON credentials directly from your Google Cloud settings.
- Update Config: Add the executable tool command structure directly to your Claude config file.
- Restart & Confirm: Reload the desktop model client to complete the connection handshake sequence.
Sample Connection Schema
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "execute_google-cloud",
"arguments": {
"query": "status_check"
}
},
"id": 1
}Security Considerations
To guarantee perfect data isolation, safeguard the GCP Service Account Credentials JSON credentials. Always run integrations in sandboxed contexts to block unsolicited access.
Best Practices
- Configure exact resource boundaries for the Cloud Run status feature.
- Configure exact resource boundaries for the BigQuery queries sandbox feature.
- Configure exact resource boundaries for the IAM audit logs feature.
- Configure exact resource boundaries for the Logging streaming feature.
Required Auth Keys
GCP Service Account Credentials JSON
Deploy Google Cloud Server
Deploy this Google Cloud integration to our global edge container cluster. Zero DevOps, instant SSE.
Related Connectors
Google Cloud - FAQ
Contextual information and technical support details regarding Model Context Protocol integration