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.
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.
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.
01-03
3 capabilities in this set.
Part of 3 available through Context Window Token Estimator.
- 01
Analyze context distribution
Breaks down a complete agent payload into its constituent parts and checks against capacity
- 02
Estimate payload tokens
Calculates the estimated token count for individual components of an agent's input
- 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.
- 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.
https://edge.vinkius.com/vk_preview_JSrmRV3GM3NOBDbS6k7ZafkvGpk7uNiLmaM4sSsQ/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Context Window Token Estimator capabilities are ready to use.
{
"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.
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