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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LLM Context Window Budgeter with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Monitor and predict LLM context window exhaustion with precision token forecasting.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Observed, not estimated

623ms average. Fast in production.

LLM Context Window Budgeter is checked daily against the live service.

Daily averagePeak 829ms
Aug 20Today
Fastest day
462ms
Slowest day
829ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 0 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 LLM Context Window Budgeter, so you can see the experience inside your AI.

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

LLM Context Window Budgeter Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_G890Zc3dVhbnAfzCVWsOyss08OJEGXDjIw5dWE1l/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 — LLM Context Window Budgeter capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "llm-context-window-budgeter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_G890Zc3dVhbnAfzCVWsOyss08OJEGXDjIw5dWE1l/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

FAQ

Questions LLM Context Window Budgeter owners ask.

  • 01

    How does the budget calculation work?

    The capability subtracts your system prompt tokens, conversation history tokens, and reserved output buffer from your total context window size to determine the remaining input budget. Capabilities available: your_tool_name.

  • 02

    What is 'Reserved Output Tokens'?

    It is a strategic buffer of tokens set aside to ensure the model has enough space to generate its entire response without being cut off mid-sentence.

  • 03

    When should I use truncation?

    You should use truncation when analyze_context_risk returns a 'Critical' or 'Emergency' alert level, indicating that the context window is nearly exhausted.

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