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Connect Context Window Utilization Analyzer to your AI

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 losing context before your agent hits its limit.

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 Context Window Utilization Analyzer.

  1. 01

    Calculate utilization

    This capability runs a deterministic calculation to show exactly how much context you've used and how much is left.

  2. 02

    Get utilization status

    Use this to get a quick, high-level health check on your current context usage.

  3. 03

    Predict capacity exhaustion

    This capability estimates your remaining breathing room by looking at how intense your conversation has been.

Real work

What teams actually run

01

Long-form coding sessions

Monitor how much room is left as you add more files and capability definitions to the context.

02

Complex agent workflows

Track how many turns an autonomous agent can perform before it needs a context reset.

03

Prompt optimization

Measure the exact token cost of different system prompt versions.

04

Session health management

Get alerts when utilization hits a threshold so you can compress or clear context.

One connector, every AI

Context Window Utilization Analyzer 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 Context Window Utilization Analyzer 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

845ms average. Fast in production.

Context Window Utilization Analyzer is checked daily against the live service.

Daily averagePeak 991ms
Oct 3Today
Fastest day
688ms
Slowest day
991ms
14-day trend
Slowing+10%

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 Utilization Analyzer, so you can see the experience inside your AI.

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

Context Window Utilization Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_a94zLVwSwf2DvTzAMChKGExr9UmXx5NDNX3Qbk6j/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 Utilization Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "context-window-utilization-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a94zLVwSwf2DvTzAMChKGExr9UmXx5NDNX3Qbk6j/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 Context Window Utilization Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Context Window Utilization Analyzer owners hand off.

This is for anyone running long, complex sessions where context management is critical to performance.

  • 01

    AI Developers

    They use it to monitor how capability definitions and system prompts impact available context.

  • 02

    Prompt Engineers

    They track token consumption to optimize long-form prompt structures.

  • 03

    Data Scientists

    They manage large conversation histories to ensure the agent maintains accuracy.

FAQ

Questions Context Window Utilization Analyzer owners ask.

  • 01

    How does this MCP track tokens?

    It performs deterministic calculations based on your system prompts, capability definitions, and the current conversation history.

  • 02

    Which AI clients can use this?

    Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this capability.

  • 03

    Can it predict when I will run out of context?

    Yes, it can estimate your remaining breathing room based on the intensity of your conversation.

  • 04

    Does this work with any model?

    It works with any MCP-compatible client, regardless of the underlying model being used.

  • 05

    What happens when my context is full?

    The MCP helps you identify when you are nearing capacity so you can take action before truncation occurs.

  • 06

    How does the analyzer calculate remaining tokens?

    The calculate_utilization capability subtracts the sum of all input tokens (system prompt, capability definitions, and history) and the expected output buffer from the total model context window.

  • 07

    What is a 'compression trigger'?

    A compression trigger is a status indicator. If utilization exceeds 80%, it suggests 'Compress Now'; if it exceeds 60%, it suggests 'Monitor'.

  • 08

    Can I predict how many more messages I can send?

    Yes, you can use the predict_capacity_exhaustion capability to estimate the number of turns remaining based on your current usage and an average token count per turn.

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