Google Cloud

Google Cloud Platform MCP Server for Cloudflare Workers

Rate Limits & Quotas

Understand the rate limits and quotas for Google Cloud API access.

Requests / Minute

Requests / Day

Important Notes

•Google Cloud is a cloud platform with multiple services, each having different rate limits
•Rate limits vary significantly by service: Compute Engine, Cloud Storage, BigQuery, Cloud Functions, Pub/Sub, etc.
•Common limits include: Cloud Storage (per-project quotas), Cloud Functions (concurrent executions), Compute Engine (API requests and per-VM quotas)
•For specific rate limits, consult the individual service documentation at cloud.google.com/docs
•Default quotas and limits can be adjusted through the Google Cloud Console
•Most API services have both rate limits (requests/second) and quota limits (daily, monthly)

1.
Implement exponential backoff
When you receive a 429 error, wait before retrying with increasing delays.
2.
Cache responses when possible
Store frequently accessed data locally to reduce API calls.
3.
Use batch operations
Combine multiple operations into single requests where supported.
4.
Monitor your usage
Use the Primrose dashboard to track your API usage and set alerts.

Rate Limit Errors

What happens when you exceed limits

{
  "error": {
    "code": "rate_limit_exceeded",
    "message": "Too many requests",
    "retry_after": 60
  }
}

When rate limited, the response includes a retry_after value indicating how many seconds to wait before retrying.