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Connect Sliding Window Rate Limiter to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop hitting 429 errors during parallel agent workflows.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Sliding Window Rate Limiter.

  1. 01

    Check rate limit

    This capability checks if a specific request is allowed to proceed based on your current rate limit settings.

  2. 02

    Get provider quotas

    Use this to pull the specific rate limit definitions currently configured for a provider.

  3. 03

    Get usage summary

    This capability provides a breakdown of how much quota you have consumed across all models for a given provider.

Real work

What teams actually run

01

Parallel Agent Orchestration

When running multiple agents in CrewAI or LangChain, this MCP ensures they don't collectively exhaust the API quota.

02

Automated Data Processing

Use this to throttle high-volume data extraction tasks so they stay within provider limits.

03

Cost and Quota Management

Monitor how much of your provider budget is being used through real time usage summaries.

04

Reliable Agentic Workflows

Ensure long running autonomous tasks don't fail due to sudden rate limit hits.

One connector, every AI

Sliding Window Rate Limiter works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Sliding Window Rate Limiter to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

869ms average. Fast in production.

Sliding Window Rate Limiter is checked daily against the live service.

Daily averagePeak 1037ms
Oct 3Today
Fastest day
749ms
Slowest day
1037ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Sliding Window Rate Limiter, so you can see the experience inside your AI.

It does not authenticate your account with Sliding Window Rate Limiter. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Sliding Window Rate Limiter Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_USHbDW02FrEsJzJcyKPDZVpinU9suBOgDwu60VwU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Sliding Window Rate Limiter capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sliding-window-rate-limiter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_USHbDW02FrEsJzJcyKPDZVpinU9suBOgDwu60VwU/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Sliding Window Rate Limiter in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Sliding Window Rate Limiter owners hand off.

This MCP is for developers building autonomous agent systems that need to scale without hitting API walls.

  • 01

    AI Engineers

    They hand off the task of managing request frequency and quota tracking to the MCP.

  • 02

    LLM Ops Specialists

    They use the MCP to monitor consumption and manage provider-specific configurations.

  • 03

    Backend Developers

    They integrate this into parallel workflows to ensure stability during high-concurrency tasks.

FAQ

Questions Sliding Window Rate Limiter owners ask.

  • 01

    How does this MCP prevent 429 errors?

    It uses sliding and fixed window algorithms to calculate the exact millisecond delay required before the next request is allowed.

  • 02

    Can I use this with parallel agents?

    Yes, it is specifically designed to coordinate multiple agents so they don't exceed a shared API quota.

  • 03

    What clients are compatible?

    It works with any MCP-compatible client like Claude, Cursor, Windsurf, and VS Code.

  • 04

    How do I see how much quota I have left?

    You can use the get_usage_summary capability to see consumption across all models for a provider.

  • 05

    Does it work with different providers?

    Yes, you can view and manage specific rate limit definitions for different providers using the get_provider_quotas capability.

  • 06

    How does this prevent 429 errors?

    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.

  • 07

    What is the difference between fixed and sliding windows?

    Fixed windows reset at static time blocks, while sliding windows use a moving period relative to the current timestamp for smoother enforcement.

  • 08

    Can I monitor my current usage?

    Yes, you can use get_usage_summary to see the usage percentage and status for each model under a specific provider.

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