Sliding Window Rate Limiter

Sliding Window Rate Limiter MCP Connector for Claude

A+

Enforces exact API rate limits across parallel agents to prevent 429 errors.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a high-precision coordination engine to manage API quotas. It prevents 429 Too Many Requests errors in parallel agent workflows (like CrewAI or LangChain) by implementing fixed and sliding window algorithms. Using deterministic Unix timestamps, it calculates the exact sleep_time_ms required before the next request is permitted. Use check_rate_limit to validate requests, get_provider_quotas to view configurations, and get_usage_summary to monitor consumption across models.

apithrottlingconcurrencyrate-limitagents

3 tools expose this connector's capabilities to your AI agent.

check_rate_limit

Determines if a specific request can proceed under the current rate limit configuration

get_provider_quotas

Retrieves the currently configured rate limit definitions for a specific provider

get_usage_summary

Provides an overview of current consumption across all models for a given provider

See how to talk to your AI agent using Sliding Window Rate Limiter.

Can I make another request to OpenAI GPT-4 right now?

No, the current sliding window limit for GPT-4 has been reached. You must wait 450ms before the next request is permitted.

What is the current usage status for the Anthropic provider?

The usage for Anthropic is currently at 45%, which is within the nominal range.

Show me the rate limit configuration for OpenAI.

OpenAI has two configured tiers: GPT-3.5 uses a fixed window of 3600000ms with a 1000 request limit, and GPT-4 uses a sliding window of 60000ms with a 100 request limit.

It uses `check_rate_limit` to determine if a request will exceed the quota. If the limit is reached, it provides the exact `sleep_time_ms` to wait, ensuring agents stay within the allowed window.

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