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Connect Multi-Language Token Estimator 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. Predict token usage for mixed-language text instantly.

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 Multi-Language Token Estimator.

  1. 01

    Estimate text composition

    This capability provides a granular breakdown of character counts and token estimates for any text string. It also identifies which language is dominant in the provided text.

  2. 02

    Validate unicode range

    This capability checks if a specific character belongs to a supported linguistic range. It verifies compatibility for English, Chinese, Japanese, Korean, Cyrillic, and Arabic.

  3. 03

    Get language ratios

    This capability retrieves the fixed tokenization multipliers used for different languages. It shows the deterministic ratios used to calculate token counts from character counts.

Real work

What teams actually run

01

Multilingual Prompt Optimization

Calculate exactly how many tokens a prompt containing Japanese and English will use before sending it to your agent.

02

Cost Management

Estimate the cost of processing large volumes of Arabic or Cyrillic text by checking character-to-token ratios.

03

Data Validation

Check if a dataset contains characters that fall within the supported Unicode ranges for analysis.

04

Linguistic Analysis

Determine the ratio of different languages within a single block of text.

One connector, every AI

Multi-Language Token Estimator 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 Multi-Language Token Estimator 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

943ms average. Fast in production.

Multi-Language Token Estimator is checked daily against the live service.

Daily averagePeak 1173ms
Oct 3Today
Fastest day
715ms
Slowest day
1173ms
14-day trend
Improving-29%

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 Multi-Language Token Estimator, so you can see the experience inside your AI.

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

Multi-Language Token Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_pLbm2rECwSPhFXh58TUHdck6WZwlkcGQgQk3sOPb/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 — Multi-Language Token Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "multi-language-token-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pLbm2rECwSPhFXh58TUHdck6WZwlkcGQgQk3sOPb/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 Multi-Language Token Estimator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Multi-Language Token Estimator owners hand off.

This MCP is built for developers and prompt engineers working with global datasets.

  • 01

    Prompt Engineers

    They use it to predict how much context a multilingual prompt will occupy.

  • 02

    LLM Developers

    They use it to optimize token usage and manage costs for non-English inputs.

  • 03

    Data Scientists

    They use it to analyze the linguistic composition of large text datasets.

FAQ

Questions Multi-Language Token Estimator owners ask.

  • 01

    Which languages does this MCP support?

    The MCP supports English, Chinese, Japanese, Korean, Cyrillic, and Arabic through Unicode classification.

  • 02

    How does it calculate tokens?

    It uses deterministic token-to-character multipliers for each supported language to provide estimates.

  • 03

    Can I use this with Cursor or Windsurf?

    Yes, this MCP works with any MCP-compatible client including Cursor, Windsurf, and VS Code.

  • 04

    Does it work with non-Latin scripts?

    Yes, it is specifically designed to handle scripts like Chinese, Japanese, Korean, Cyrillic, and Arabic.

  • 05

    Is the token estimation accurate?

    The capability provides deterministic estimates based on fixed linguistic multipliers and character counts.

  • 06

    How are tokens calculated?

    Tokens are estimated by multiplying the character count of each language by a specific deterministic ratio (e.g., 4.0 for English, 1.5 for Chinese).

  • 07

    Which languages are supported?

    The capability supports English, Chinese, Japanese, Korean, Cyrillic, and Arabic based on specific Unicode ranges.

  • 08

    Can I check specific character ranges?

    Yes, you can use validate_unicode_range to verify if a specific character belongs to a supported linguistic category.

Explore

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