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How to Use the Chord Progression Analyzer MCP in Windsurf

Automate deep musical analysis workflows using Windsurf's Cascade.

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MCP Servers - Free for Subscribers
Vinkius runs on Windsurf

Connect Chord Progression Analyzer MCP to Windsurf

Create your Vinkius account to connect Chord Progression Analyzer to Windsurf 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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Key Capabilities

Build complex music theory pipelines with the MCP Server

You can set a goal—say, analyzing a tricky piece of music—and let Cascade handle the steps. It first converts named chords into functional Roman numerals using `analyze_roman_numerals`. Then it passes that data to `classify_progression` to map out the harmonic structure. After determining the pattern, you can finish by calling `lookup_musical_context`, getting instant stylistic and emotional metadata for the whole progression. It’s all chained together without you touching a prompt in between.

Cross-reference chord functions against established theory

Need to know if a specific sequence is common? Start by letting Cascade run `analyze_roman_numerals` for the key center. This gives you the raw data needed to feed into `classify_progression`. You're not just getting patterns; you’re validating them against known musical rules. This process means your agent builds a complete, traceable audit log of every step taken—from chord name to final harmonic assessment.

Analyze unknown progressions in one go with the MCP Server

When you're working on an unfamiliar piece, don’t just guess its meaning. Let Cascade tackle it. It takes your initial list of chords and runs `analyze_roman_numerals` to standardize them. Next, `classify_progression` identifies if that sequence functions as a lift or a bridge. Finally, the agent uses `lookup_musical_context` to give you the emotional intent behind the notes. It’s a full theory report delivered automatically.

Setup guide

Set up Chord Progression Analyzer MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Chord Progression Analyzer 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. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Chord Progression Analyzer payment history." If connected, Cascade will call the Chord Progression Analyzer tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "chord-progression-analyzer-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chord Progression Analyzer. 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 Chord Progression Analyzer MCP in Windsurf

You run `analyze_roman_numerals` first to get the functional Roman numerals. Then, Cascade uses `classify_progression` on those numbers. This process tells you if the harmonic pattern strongly suggests a build or transition point.
Yeah, absolutely. After classifying the progression with `classify_progression`, you can immediately feed those results to `lookup_musical_context`. This gives you a quick read on whether the pattern sounds more like folk or pop.
It primarily processes chord names and their resulting Roman numerals. The server reads this input to determine both the harmonic function and emotional context of the progression.
The MCP Server handles multiple steps, letting you chain `analyze_roman_numerals`, followed by `classify_progression`, to build a complete harmonic assessment. You're not limited to single-step analyses here.
You must first run `analyze_roman_numerals` and then use `classify_progression`. The resulting harmonic pattern is what `lookup_musical_context` needs to pull meaningful metadata.

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