ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Context Window Token Estimator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate exact token counts and payload distribution for AI agent context windows.

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

Complete set · 3 capabilities

The complete Context Window Token Estimator capability set.

These are the exact actions your AI can choose when you ask it to work with Context Window Token Estimator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Context Window Token Estimator.

  1. 01

    Analyze context distribution

    Breaks down a complete agent payload into its constituent parts and checks against capacity

  2. 02

    Estimate payload tokens

    Calculates the estimated token count for individual components of an agent's input

  3. 03

    Get limit tier info

    Identifies the closest standard model capacity tier for a given token count

Observed, not estimated

773ms average. Fast in production.

Context Window Token Estimator is checked daily against the live service.

Daily averagePeak 913ms
Aug 28Today
Fastest day
707ms
Slowest day
913ms
14-day trend
Improving-9%

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 Context Window Token Estimator, so you can see the experience inside your AI.

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

Context Window Token Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_JSrmRV3GM3NOBDbS6k7ZafkvGpk7uNiLmaM4sSsQ/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 — Context Window Token Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "context-window-token-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JSrmRV3GM3NOBDbS6k7ZafkvGpk7uNiLmaM4sSsQ/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 Context Window Token Estimator owners ask.

  • 01

    How are tokens calculated?

    The server uses a combination of character-based density (roughly 4 characters per token) and word-boundary splitting to provide a deterministic estimate.

  • 02

    Can I check if my prompt will exceed the model limit?

    Yes, by using analyze_context_distribution, you can compare your total token count against standard tiers like 8k, 16k, 32k, or 128k.

  • 03

    What components can be analyzed?

    You can analyze the system prompt, few-shot examples, RAG context, and the user query to see the full distribution.