How to Use the Voice Leading Checker MCP in Claude Code

Run rigorous counterpoint analysis in your CI/CD pipelines with Claude Code.

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Connect Voice Leading Checker MCP to Claude Code

Create your Vinkius account to connect Voice Leading Checker to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Voice Leading Checker with Claude Code

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CI/CD Validation using the MCP Server

Need to enforce musical rules before merging code? Use `analyze_voice_conduction` in a script. You can pipe chord voicings into your agent, which runs the analysis and outputs a machine-readable success or failure status. This means you don't rely on local testing; the MCP Server provides objective validation for every commit.

Batch Check Voicings with Claude Code

If you have hundreds of musical examples to check, your agent can process them in a batch. It uses `check_voice_hierarchy` across multiple inputs, validating that the structural rules hold for every piece without manual intervention. This is perfect for running against large corpuses or entire songbooks within an automated pipeline.

Automate Transition Scoring with Claude Code

The `evaluate_smoothness` tool measures the quality of musical transitions. You can shell-script this check, feeding it transition data to generate a quantifiable score that becomes part of your build report. This lets you automate aesthetic decisions—if the smoothness falls below X, the deployment fails.

Setup guide

Set up Voice Leading Checker MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see voice-leading-checker-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Voice Leading Checker transactions." It will automatically discover and invoke the available Voice Leading Checker tools.

Terminal

claude mcp add --transport http voice-leading-checker-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Voice Leading Checker MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "voice-leading-checker-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Voice Leading Checker. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Voice Leading Checker MCP in Claude Code

You set up a simple shell script that calls your agent with the required data. The MCP runs entirely headless, giving you only the final JSON output containing the integrity verdict.

Yes. Because it's a CLI tool, you can easily integrate it into cron jobs or scheduled GitHub Actions to run nightly checks on your music data repository.

It is. The entire process happens through Vinkius's secure, isolated sandbox environment, which handles resource management and throughput efficiently under heavy load.

Yes. Beyond just passing or failing, the tools report exactly *why* a rule was broken—was it conduction that failed? Was the hierarchy wrong? The output specifies the violation.

The server processes musical pitch sequences and interval relationships. This is pure, anonymized musical data derived from your input files, never accessing system credentials or private user information.

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