Signal Filter Designer Connector for AI agents.
4 live capabilities
Clean and shape raw sensor data and audio signals with precise digital filters.
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Why people use Signal Filter Designer
Signal Filter Designer DSP capability for Cleaning Noisy Sensor Data
This Connector lets your agent do that work in seconds. Just hand over the array, tell it what to cut, and get back a clean signal. You get a production-ready dataset without the headache of manual math.
What Vinkius changes
That you get clean, production-ready signal data without doing the heavy lifting of manual DSP math.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Cleaning Jittery IoT Sensor Logs
An IoT developer has a temperature sensor providing noisy data.
- Real-world use case 02
Quick Audio Tone Shaping
A content creator wants to boost a specific frequency in a raw audio sample.
- Real-world use case 03
Smoothing Financial Time-Series
An analyst wants to see the underlying trend in a jumpy stock price dataset.
Complete set · 4capabilities
The complete Signal Filter Designer capability set.
These are the exact actions your AI can choose when you ask it to work with Signal Filter Designer.
01—04
4 capabilities in this set.
Part of 4 available through Signal Filter Designer.
- 01 Capability
Apply exponential moving average
Smooths data while giving more weight to recent changes for a more responsive trend. This is ideal for real-time data.
- 02 Capability
Apply first order filter
Removes high-frequency noise or low-frequency drift by applying basic attenuation. Just make sure your cutoff is below the Nyquist limit.
- 03 Capability
Apply peaking eq
Boosts or cuts specific frequency ranges to shape the overall tone of a signal. It's great for precise audio shaping.
- 04 Capability
Apply moving average sma
Averages local data points to smooth out short-term fluctuations in a dataset. Use this to get a cleaner look at your trends.
Set up in minutes
One URL. Then ask Signal Filter Designer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Signal Filter Designer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Signal Filter Designer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Signal Filter Designer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Signal Filter Designer URL.
- Step 03
Save and start
Save the connection and enable Signal Filter Designer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"signal-filter-designer": {
"url": "https://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Signal Filter Designer
Open Agent mode in chat and ask: "Using Signal Filter Designer, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"signal-filter-designer": {
"url": "https://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Signal Filter Designer
Ask Copilot: "Using Signal Filter Designer, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"signal-filter-designer": {
"url": "https://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Signal Filter Designer
Open Cascade and ask: "Using Signal Filter Designer, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"signal-filter-designer": {
"url": "https://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Signal Filter Designer
Ask Cline: "Using Signal Filter Designer, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add signal-filter-designer --transport http "https://edge.vinkius.com/vk_preview_tAvMCAxzsU7BSgJTl0PJxJTTJ3Kl3BbmmcyslMpm/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Signal Filter Designer
Ask Claude: "Using Signal Filter Designer, show me...". 4 tools are ready
Where the request belongs
Work Signal Filter Designer can move forward.
You're a data scientist or IoT engineer who's tired of spending hours writing boilerplate math to clean up jittery sensor data or noisy audio feeds.
Data Scientist
Cleaning up messy time-series data from production logs to find actual trends.
Audio Engineer
Quickly shaping tones or applying EQ to raw audio samples without a full DAW.
IoT Developer
Filtering out hardware noise from sensor arrays in real-time applications.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Waveform Generator
Generate high-fidelity digital audio waveforms and noise profiles.
Fourier Transform Engine
Calculate Fast Fourier Transforms (FFT) on time-series data local. Extract dominant frequencies from signals, audio, or financial cycles with mathematical perfection.
Digital Audio Parameter Calculator
Calculate Nyquist frequency, dynamic range, bitrate, and storage requirements for digital audio.
Audio Unit Converter
Convert between musical frequencies, rhythmic durations, digital sample counts, and logarithmic amplitude levels.
BPM Tap Tempo Analyzer
Analyze tap-based rhythmic input to derive precise tempo, stability, and musical context.
Sample Offset Calculator
Convert between milliseconds and exact audio samples for precise DAW alignment.
Bring your own AI
Change the model, client or framework. Keep Signal Filter Designer connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Signal Filter Designer.
The practical details behind the request, access and result.
What can I do with the Signal Filter Designer MCP?
You can use it to clean up raw numerical data. This includes smoothing out jumpy sensor readings, removing high-frequency noise, and shaping the tones of audio signals using standard digital signal processing.
How does Signal Filter Designer MCP handle sensor noise?
It uses first-order filters to apply attenuation. This helps strip out the high-frequency jitter often found in IoT devices or industrial sensors.
Can I use Signal Filter Designer MCP for audio files?
Yes, you can use it to shape audio signals. It includes a peaking EQ capability that lets you boost or cut specific frequencies to change the tone of a signal.
What is the difference between SMA and EMA in this Connector?
The SMA (Simple Moving Average) treats all data points in a window equally to smooth out spikes. The EMA (Exponential Moving Average) gives more weight to recent data, making it more responsive to new changes.
How do I apply a peaking EQ using the Connector?
You just need to provide your signal array and specify the frequency, gain, and Q factor. The Connector will handle the math to boost or cut that specific tone for you.
Can Signal Filter Designer MCP clean up my IoT data?
Absolutely. It's designed for exactly that. It can take raw, noisy data from your IoT sensors and return a smoothed, usable array for your dashboard or database.
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.
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.
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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