Audio Unit Converter Connector for AI agents.
4 live capabilities
Precise frequency and tempo math for music production and audio engineering.
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Why people use Audio Unit Converter
Audio Unit Converter for Precise Music Production Math
With this Connector, you just ask your agent. It handles the conversion between decibels and linear ratios, sample counts and time, and frequencies and MIDI numbers instantly. You get the exact data you need without ever leaving your workspace.
What Vinkius changes
You get precise audio math without leaving your workspace.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Sample-accurate delay timing
An audio engineer needs to know how many samples are in a 500ms window at a 44.
- Real-world use case 02
Non-standard tuning identification
A music producer wants to find the exact frequency of a note in a custom tuning and needs the corresponding MIDI number via convert_pitch_identity.
- Real-world use case 03
Dynamic music system math
A game developer is building a rhythmic system and needs the millisecond duration of a sixteenth note at 120 BPM using calculate_tempo_rhythm.
Complete set · 4capabilities
The complete Audio Unit Converter capability set.
These are the exact actions your AI can choose when you ask it to work with Audio Unit Converter.
01—04
4 capabilities in this set.
Part of 4 available through Audio Unit Converter.
- 01 Capability
Convert pitch identity
Convert between frequency, note name, and MIDI number. Helps identify notes in non-standard tunings.
- 02 Capability
Calculate tempo rhythm
Calculate rhythmic subdivision durations based on BPM. Get exact millisecond lengths for notes.
- 03 Capability
Convert sample timing
Convert between duration in ms and sample count. Ensures sample-accurate timing for audio processing.
- 04 Capability
Convert amplitude magnitude
Convert between decibels and linear amplitude. Useful for accurate gain staging and DSP development.
Set up in minutes
One URL. Then ask Audio Unit Converter to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Audio Unit Converter 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_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Audio Unit Converter for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter URL.
- Step 03
Save and start
Save the connection and enable Audio Unit Converter in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"audio-unit-converter": {
"url": "https://edge.vinkius.com/vk_preview_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter
Open Agent mode in chat and ask: "Using Audio Unit Converter, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"audio-unit-converter": {
"url": "https://edge.vinkius.com/vk_preview_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter
Ask Copilot: "Using Audio Unit Converter, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"audio-unit-converter": {
"url": "https://edge.vinkius.com/vk_preview_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter
Open Cascade and ask: "Using Audio Unit Converter, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"audio-unit-converter": {
"url": "https://edge.vinkius.com/vk_preview_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter
Ask Cline: "Using Audio Unit Converter, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add audio-unit-converter --transport http "https://edge.vinkius.com/vk_preview_7uXxsrGEZbBKEW6hNKHHWK4WSEtbjWIcn8cJ8qj8/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 Audio Unit Converter
Ask Claude: "Using Audio Unit Converter, show me...". 4 tools are ready
Where the request belongs
Work Audio Unit Converter can move forward.
This Connector is for the audio engineers and music producers who are tired of stopping their creative flow to do manual math for sample timing, note frequencies, or gain calculations.
Audio Engineer
Calculating sample-accurate offsets for complex delay chains or reverb tails.
Music Producer
Finding the exact MIDI note and Hertz values for non-standard tunings during a session.
DSP Developer
Converting decibel levels to linear ratios for gain sliders in audio plugins.
Game Audio Designer
Determining rhythmic subdivisions for dynamic music systems based on varying BPMs.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Pitch Shift Speed Ratio Calculator
Calculate playback speed multipliers, adjusted durations, and new BPM for pitch shifting via varispeed.
Groove Quantize Calculator
Calculate precise millisecond-based quantization grids, swing offsets, and latency compensation for DAWs.
Frequency & Note Converter
Convert between musical frequencies and notes with precision.
BPM Tap Tempo Analyzer
Analyze tap-based rhythmic input to derive precise tempo, stability, and musical context.
Bring your own AI
Change the model, client or framework. Keep Audio Unit Converter 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 Audio Unit Converter.
The practical details behind the request, access and result.
Can the Audio Unit Converter MCP find MIDI numbers for frequencies?
Yes, it can translate any frequency in Hertz into its corresponding note name and MIDI number, which is perfect for working with non-standard tunings.
How does it help with sample-accurate timing?
It allows you to convert millisecond durations into exact sample counts based on your project's sample rate, ensuring your delays and reverbs are perfectly timed.
Can I use it to convert decibel levels?
Yes, it handles conversions between logarithmic decibel levels and linear amplitude ratios, which is essential for accurate gain staging and DSP development.
Does it support different BPMs for note calculations?
Absolutely. You can input any BPM, and it will calculate the exact millisecond duration for musical subdivisions like eighth or sixteenth notes.
Can it help me with DSP gain calculations?
It is great for that. You can quickly convert between decibels and linear ratios to ensure your audio plugin's gain sliders behave correctly.
How accurate are the frequency conversions?
The convert_pitch_identity capability provides highly precise calculations, including cents deviation from standard tuning references like 440Hz or 432Hz.
Can I convert between milliseconds and samples?
Yes, using convert_sample_timing, you can translate durations in milliseconds to sample counts (and vice versa) as long as you provide the sample rate.
Does it support different decibel scales?
Yes, convert_amplitude_magnitude supports conversions for dBFS, dBu, and dBV scales.
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