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Connect List Item Token Counter 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. Stop wasting tokens on inefficient Markdown list formatting.

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 List Item Token Counter.

  1. 01

    Analyze list structure

    This capability provides a detailed breakdown of token metrics and structural costs for any text block containing list items.

  2. 02

    Get list efficiency summary

    Use this to determine if a specific list structure is efficient or if the formatting is wasting too many tokens.

  3. 03

    Validate list syntax

    This capability checks if your text follows standard Markdown list formatting rules for proper detection.

Real work

What teams actually run

01

Prompt Optimization

You can check if a complex list of instructions in a prompt is using too many tokens.

02

Document Auditing

Check large Markdown files to see if the list styles are efficient.

03

Syntax Checking

Verify that generated lists will be parsed correctly by other Markdown capabilities.

04

Cost Management

Calculate the overhead of different list styles to choose the cheapest one for high-volume tasks.

One connector, every AI

List Item Token Counter 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 List Item Token Counter 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

802ms average. Fast in production.

List Item Token Counter is checked daily against the live service.

Daily averagePeak 959ms
Oct 3Today
Fastest day
656ms
Slowest day
959ms
14-day trend
Stable+1%

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 List Item Token Counter, so you can see the experience inside your AI.

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

List Item Token Counter Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_aeIxJTr9vVDueJalgPU65M5piXai0bQfx1mPa5qe/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 — List Item Token Counter capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "list-item-token-counter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aeIxJTr9vVDueJalgPU65M5piXai0bQfx1mPa5qe/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 List Item Token Counter in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work List Item Token Counter owners hand off.

This is for anyone building or managing large-scale text structures where token efficiency matters.

  • 01

    Prompt Engineers

    They use it to optimize long system prompts or few-shot examples containing lists.

  • 02

    Content Developers

    They audit large Markdown documents to keep context windows manageable.

  • 03

    AI Developers

    They monitor the structural overhead of automated text generation.

FAQ

Questions List Item Token Counter owners ask.

  • 01

    What does this MCP actually measure?

    It measures the token count and structural overhead specifically caused by Markdown list formatting.

  • 02

    Which AI clients can use this?

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

  • 03

    Can it help me save money on API calls?

    Yes, by identifying inefficient list structures, it helps you reduce the total token count sent to your AI client.

  • 04

    Does it work with any list format?

    It is specifically designed for Markdown-style lists.

  • 05

    Do I need to host this myself?

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

  • 06

    How does this capability calculate token usage?

    The capability estimates token consumption based on a character-to-token ratio and adds a specific overhead for each list marker used.

  • 07

    What is considered a 'Heavy List'?

    A list with more than 20 items is classified as a Heavy List, suggesting it might be more efficient to group or summarize the content.

  • 08

    Can I use this with Cursor or Claude Desktop?

    Yes, this MCP server can be connected to Cursor, Claude Desktop, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.

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