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Connect Fourier Transform Engine 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. Convert time-domain data into frequency-domain results 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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through fft.js.

  1. 01

    Calculate fft

    This capability runs a Fast Fourier Transform on numeric time-series arrays. It converts your data into frequency components so your agent can identify specific patterns.

Real work

What teams actually run

01

Audio Analysis

Identify the most prominent pitch or frequency component in a recorded sound wave.

02

Sensor Monitoring

Detect specific vibration frequencies in industrial machinery using sensor time-series.

03

Market Cycle Detection

Find repeating weekly or monthly cycles within financial price data.

04

Signal Cleaning

Isolate dominant frequencies to separate meaningful signals from background noise.

Automate a task

Put fft.js to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

fft.js 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 fft.js 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

872ms average. Fast in production.

fft.js is checked daily against the live service.

Daily averagePeak 1105ms
Oct 3Today
Fastest day
598ms
Slowest day
1105ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 fft.js, so you can see the experience inside your AI.

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

fft.js Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/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 — fft.js capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fourier-transform-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/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 fft.js in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work fft.js owners hand off.

This MCP is built for technical users who need to bridge the gap between raw data and AI reasoning.

  • 01

    Data Scientists

    Hand off raw time-series arrays to the MCP to get frequency analysis for further modeling.

  • 02

    Audio Engineers

    Use the capability to identify specific frequency components within audio signals.

  • 03

    Financial Analysts

    Identify cyclical patterns in market data by converting price series into frequency domains.

  • 04

    Hardware Engineers

    Analyze vibration or sensor data to find dominant periodic signals.

FAQ

Questions fft.js owners ask.

  • 01

    Can my AI calculate FFTs on its own?

    No. LLMs struggle with the thousands of complex multiplications required for a Discrete Fourier Transform. This MCP uses your local CPU to ensure mathematical accuracy.

  • 02

    What happens if my data length is not a power of 2?

    The MCP automatically pads your signal to the nearest power of 2 to ensure the FFT runs at optimal speed.

  • 03

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    How many dominant frequencies does it find?

    The engine automatically extracts the top 3 strongest frequency bins from your signal.

  • 05

    Is the math accurate?

    Yes. The processing is handled by the fft.js library on your machine, providing exact mathematical results rather than AI estimates.

  • 06

    Does my array length need to be a power of 2?

    No. The engine automatically zero-pads your signal to the nearest power of 2 before transforming. You can send any array length.

  • 07

    What format is the output?

    The engine returns a JSON containing the top 3 dominant frequency bin indices with their magnitudes, plus a preview array of the first 10 absolute magnitudes for quick analysis.

  • 08

    Can it perform inverse FFT (IFFT)?

    Currently, this capability is optimized for forward FFT frequency extraction. A dedicated IFFT capability for signal reconstruction could be added in future updates.

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