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Connect Signal Filter Designer to ChatGPT, Claude and Gemini

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. Clean and shape numerical arrays with direct AI commands.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Signal Filter Designer.

  1. 01

    Apply first order filter

    This capability applies basic attenuation to your signal. Use it to remove high-frequency noise or low-frequency drift from an array.

  2. 02

    Apply exponential moving average

    This capability smooths data using a weighted approach. It allows recent changes to have a programmable impact on the output.

  3. 03

    Apply moving average sma

    This capability uses local data point averaging to smooth out short-term fluctuations. It is a standard way to clean up jittery signals.

  4. 04

    Apply peaking eq

    This capability shapes the tone of a signal. It boosts or cuts specific frequency ranges based on your requirements.

Real work

What teams actually run

01

Sensor Data Cleaning

Remove high-frequency jitter from a temperature or pressure sensor array.

02

Audio Signal Shaping

Adjust the tone of an audio sample by boosting or cutting specific frequencies.

03

Trend Analysis

Use moving averages to identify long-term trends in volatile time-series data.

04

Signal Pre-processing

Prepare raw numerical data for machine learning models by removing drift.

One connector, every AI

Signal Filter Designer 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 Signal Filter Designer 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

699ms average. Fast in production.

Signal Filter Designer is checked daily against the live service.

Daily averagePeak 908ms
Oct 3Today
Fastest day
551ms
Slowest day
908ms
14-day trend
Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Signal Filter Designer, so you can see the experience inside your AI.

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

Signal Filter Designer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/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 — Signal Filter Designer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "signal-filter-designer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/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 Signal Filter Designer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Signal Filter Designer owners hand off.

This MCP is built for professionals working with time-series data and digital signals who want to automate data cleaning.

  • 01

    Data Scientists

    They hand off raw sensor arrays to the AI to quickly clean data for modeling.

  • 02

    Audio Engineers

    They use the agent to apply EQ adjustments and smoothing to audio samples.

  • 03

    Hardware Engineers

    They use the capabilities to process and filter raw telemetry or sensor output.

FAQ

Questions Signal Filter Designer owners ask.

  • 01

    What kind of data can this MCP process?

    This MCP is designed to process one-dimensional numerical arrays, such as sensor data, audio samples, or time-series signals.

  • 02

    Can I use this with Claude or Cursor?

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

  • 03

    How do I smooth out noisy data?

    You can use the apply_moving_average_sma capability for simple smoothing or apply_exponential_moving_average for weighted smoothing.

  • 04

    Does this support frequency adjustments?

    Yes, the apply_peaking_eq capability allows you to boost or cut specific frequency ranges.

  • 05

    What is the difference between SMA and EMA?

    SMA averages local data points to smooth fluctuations, while EMA allows you to programmatically weight recent changes more heavily.

  • 06

    What is the Nyquist limit?

    The Nyquist limit is half of your sample rate. Any frequency you attempt to filter using apply_first_order_filter or apply_peaking_eq must be below this value to ensure signal integrity.

  • 07

    Can I use this for audio processing?

    Yes, if you provide the correct sample rate. Capabilities like apply_peaking_eq are specifically designed to shape frequency responses in audio signals.

  • 08

    How does the smoothing factor work in EMA?

    In apply_exponential_moving_average, the alpha value (between 0 and 1) determines how much weight is given to the newest sample. A higher alpha makes it react faster.

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