Ai Rate Limit Tracker
Track AI API rate-limit headroom from your agent so batch jobs and autonomous loops do not hit hard 429 walls.
Overview
ai-rate-limit-tracker is an MCP server for the Operate phase that helps track AI API rate-limit usage via a hosted Cloudflare Workers MCP endpoint.
What is this MCP server?
- Hosted MCP on Cloudflare Workers with streamable-http transport
- Focused on AI API rate-limit awareness for builders
- Reduces surprise 429s during agent batch refactors or eval runs
- Works alongside ai-token-counter for cost-and-capacity planning
- Source available at lazymac2x/ai-rate-limit-tracker-api
- Version 1.0.0 per server.schema.json
- Single remote: streamable-http
- Publisher stack: Cloudflare Workers + GitHub lazymac2x
What problem does it solve?
Agent workflows that fan out LLM calls silently hit rate caps and fail mid-run with no clear quota picture.
Who is it for?
Solo builders running high-volume agent tasks or shared API keys who need quota visibility inside the IDE.
Skip if: Apps that already enforce limits with a centralized gateway and internal metrics you trust exclusively.
What do I get? / Deliverables
After connecting the MCP remote, your agent can incorporate rate-limit tracking when planning calls and avoiding throttled batches.
- Live MCP connection for rate-limit tracking tools
- Better agent decisions around batching and backoff
Recommended MCP Servers
Journey fit
Rate limits bite hardest when you operate real traffic, cron agents, or multi-tenant keys—not during one-off prototyping. Limit tracking is infrastructure hygiene for API-backed products and heavy agent usage, alongside quotas and keys.
How it compares
MCP quota helper, not a full API management platform or billing console.
Common Questions / FAQ
Who is ai-rate-limit-tracker for?
Builders operating agent pipelines or SaaS features that depend on vendor rate limits and want MCP-accessible tracking.
When should I use ai-rate-limit-tracker?
Use it before large parallel agent runs, after repeated 429 errors, or when tuning infra for production LLM traffic.
How do I add ai-rate-limit-tracker to my agent?
Configure MCP remote https://api.lazy-mac.com/ai-rate-limit-tracker/mcp as streamable-http in Claude Code, Cursor, or your client.