Elasticsearch

Elasticsearch MCP Server for Cloudflare Workers

Rate Limits & Quotas

Understand the rate limits and quotas for Elasticsearch API access.

Requests / Minute

Requests / Day

Important Notes

•Elasticsearch is a search and analytics engine that does not have built-in API rate limits at the core engine level
•Rate limits depend on the deployment model: self-hosted Elasticsearch has no API rate limits, while Elasticsearch Service (cloud) may have limits based on subscription tier
•Rate limiting is typically enforced at the infrastructure/proxy level, not by Elasticsearch itself
•Recommended approach: Implement client-side rate limiting or use load balancers/proxies to control request rates
•For Elasticsearch Service on Elastic Cloud, contact Elastic support for specific tier-based rate limit information

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.