An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Prompt Length Classifier 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. Keep your prompts within context window limits.

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

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 Prompt Length Classifier.

  1. 01

    Classify prompt usage

    This capability provides a complete breakdown of token counts, current saturation levels, and remaining headroom for any given text.

  2. 02

    Validate window capacity

    Use this to check if a specific text block fits within a defined context window while leaving enough space for the model's response and a safety margin.

  3. 03

    Get context tier definitions

    This capability returns the logic-based definitions used to categorize different qualitative length tiers.

Real work

What teams actually run

01

Long Document Analysis

Check if a massive PDF or text file will fit into your model's window before you attempt to process it.

02

Agent Loop Management

Monitor how much context is being consumed as an agent performs multiple sequential tasks.

03

Prompt Optimization

Measure the token cost of different prompt versions to find the most efficient instruction set.

04

Capacity Planning

Verify that a prompt leaves enough room for a long, detailed response from the model.

One connector, every AI

Prompt Length Classifier 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 Prompt Length Classifier 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

903ms average. Fast in production.

Prompt Length Classifier is checked daily against the live service.

Daily averagePeak 1072ms
Oct 3Today
Fastest day
655ms
Slowest day
1072ms
14-day trend
Slowing+8%

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 Prompt Length Classifier, so you can see the experience inside your AI.

It does not authenticate your account with Prompt Length Classifier. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Prompt Length Classifier Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GdAFiXIkUwt3GhfHQZUR27E5ELmqD2oApc7nMU7Q/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 — Prompt Length Classifier capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "prompt-length-classifier-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GdAFiXIkUwt3GhfHQZUR27E5ELmqD2oApc7nMU7Q/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 Prompt Length Classifier in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Prompt Length Classifier owners hand off.

This MCP is built for technical users who need to manage large-scale context for AI agents and applications.

  • 01

    AI Developers

    They use it to prevent context overflow during prompt engineering.

  • 02

    Agent Builders

    They use it to ensure long-running agent loops stay within window limits.

  • 03

    Prompt Engineers

    They use it to optimize the length and efficiency of complex instructions.

FAQ

Questions Prompt Length Classifier owners ask.

  • 01

    What does this MCP actually do?

    It provides capabilities to calculate token usage and check if your text fits within a specific context window.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    How does it help with context limits?

    It uses the validate_window_capacity capability to ensure your prompt and the expected response both fit within the model's limits.

  • 04

    Is this just a rough estimate?

    No, it provides deterministic capabilities for token estimation and usage breakdown.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP so it is ready to use immediately after connection.

  • 06

    How are tokens calculated?

    Tokens are estimated by dividing the total character count of the input text by four.

  • 07

    What is the purpose of the safety margin?

    The safety margin provides a 10% buffer of the remaining tokens to prevent context overflow during generation.

  • 08

    Can I use this with Claude Desktop?

    Yes, this MCP server is compatible with Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client.

Explore

More in Developer Tools

Suggestions

Connect Prompt Length Classifier to Claude, Cursor, ChatGPT & more