Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Math.js, Frankfurter & Binance with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Stop LLMs from mixing metric and imperial units or hallucinating exchange rates. Deterministic physical unit conversion and live currency rates.

Included with plan

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

Complete set · 3 capabilities

The complete Math.js, Frankfurter & Binance capability set.

These are the exact actions your AI can choose when you ask it to work with Math.js, Frankfurter & Binance.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Math.js, Frankfurter & Binance.

  1. 01

    Batch convert

    ). Pass the value, source unit, and target unit for exact mathematical conversion. Converts multiple physical units in a single deterministic pass

  2. 02

    Convert unit

    Length, mass, volume, temperature and speed are supported; incompatible units (e.g. km to kg) return an error instead of a guess. Deterministically converts physical units (e.g. km/h to mi/h, celsius to fahrenheit) using mathjs

  3. 03

    Get rate

    Some currencies (e.g. JPY) have no Binance pair; if the market source reports no pair, retry with source "reference". Gets the foreign exchange rate between two ISO currency codes. Two free sources: "reference" (central bank rates via Frankfurter, 1h cache) or "market" (live Binance market prices, 5min cache)

Observed, not estimated

2404ms average. Acceptable in production.

Math.js, Frankfurter & Binance is checked daily against the live service.

Daily averagePeak 2905ms
Aug 20Today
Fastest day
2273ms
Slowest day
2905ms
14-day trend
Stable+3%

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 Math.js, Frankfurter & Binance, so you can see the experience inside your AI.

It does not authenticate your account with Math.js, Frankfurter & Binance. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Math.js, Frankfurter & Binance Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_476bw3fXfTKTHQA1s2rVLxiUwqeHoQaHaBAIV6p5/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 — Math.js, Frankfurter & Binance capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "unit-fx-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_476bw3fXfTKTHQA1s2rVLxiUwqeHoQaHaBAIV6p5/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 Math.js, Frankfurter & Binance owners ask.

  • 01

    How often are currency rates updated?

    Reference rates are cached for 1 hour; live Binance market rates for 5 minutes.

  • 02

    What physical units are supported?

    Length, mass, volume, temperature, and speed are fully supported via mathjs.

  • 03

    Can it batch convert an array of data?

    Yes, the batch processor can handle large JSON arrays instantly.

Explore

More in Productivity

Suggestions