MCP For Claude Marketplace
Fourier Transform Engine

Fourier Transform Engine MCP Connector for Claude

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Calculate Fast Fourier Transforms (FFT) on time-series data local. Extract dominant frequencies from signals, audio, or financial cycles with mathematical perfection.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Analyzing audio signals, sensor data, or financial cycles requires converting time-domain data into frequency-domain using FFT. No LLM can mentally perform a Discrete Fourier Transform — it requires thousands of complex multiplications.

This MCP brings high-speed FFT processing to your local machine using fft.js. The AI passes the signal array, and the engine computes all magnitudes, automatically extracting the top 3 dominant frequency bins with mathematically perfect precision.

The Superpowers

  • High-Speed FFT: Process thousands of data points in milliseconds.
  • Zero Hallucination: Guaranteed exact mathematical transforms by your CPU.
  • Auto-Padding: Automatically pads signals to the nearest power of 2 for optimal performance.
  • Dominant Frequency Extraction: Returns the top 3 strongest frequency bins automatically.
signal-processingmathematicstime-seriesfrequency-analysisdata-processing

1 tools expose this connector's capabilities to your AI agent.

calculate_fft

Perform Fast Fourier Transform (FFT) on time-series numeric arrays to extract frequency components

See how to talk to your AI agent using Fourier Transform Engine.

Extract the dominant frequencies from this vibration sensor time-series.

The FFT identifies Bin 4 as the dominant frequency (magnitude 120.4), followed by Bin 12 (magnitude 80.1) and Bin 28 (magnitude 45.3).

Process this audio signal and tell me the most prominent frequency component.

The single most dominant frequency is at bin 44 with a magnitude of 3145.2, indicating a strong periodic component at that frequency.

Run an FFT on this financial time-series to find cyclical patterns.

The FFT reveals a strong cyclical component at bin 7 (weekly cycle) and bin 30 (monthly cycle). The data was padded from 365 to 512 points.

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

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