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How to Use the Chord Substitution Finder MCP in Google ADK

Deep musical analysis for Google ADK enterprise agents.

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MCP Servers - Free for Subscribers
Vinkius runs on Google ADK

Connect Chord Substitution Finder MCP to Google ADK

Create your Vinkius account to connect Chord Substitution Finder to Google ADK 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

Analyzing Tension with the MCP Server

The `analyze_progression_tension` tool measures how much harmonic tension exists in a chord progression. When your agent uses this, it calculates intervallic relationships across the entire sequence, identifying specific points where the music feels strained or unresolved. This is ideal for enterprise use cases, letting you analyze millions of musical snippets stored in BigQuery and flag all passages that exceed a certain tension threshold.

Finding Substitutions via MCP Server

Need alternative chords? The `find_substitutions` tool finds every viable harmonic swap for any given chord. It applies established music theory rules, returning a list of highly technical options. Your agent can use this to compare the 'standard' version of a piece against optimized versions that incorporate these substitutions.

Detailing Substitutions using MCP Server

When `find_substitutions` spits out a potential substitute, you need more than just the name. The `get_substitution_detail` tool provides thorough explanations for why that chord works in context. It details the voice-leading paths and theoretical grounding. This level of detail lets your Google ADK agent provide expert recommendations to non-technical users who still want deep insights.

Setup guide

Set up Chord Substitution Finder MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Chord Substitution Finder tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Chord Substitution Finder_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chord Substitution Finder tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chord Substitution Finder. 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 Substitution Finder MCP in Google ADK

It integrates by allowing long-context reasoning. Your Gemini model can hold the entire musical corpus in memory, process it through `analyze_progression_tension`, and then suggest specific substitutions using the MCP Server.
Yes. By connecting to BigQuery, your agent can process huge datasets. The MCP Server handles the heavy lifting, allowing the Gemini model to focus on interpreting patterns across millions of data points.
The tools use established music theory rules, so they're highly dependable. If you run `get_substitution_detail` on a substitution, it provides the theoretical backing to prove its structural integrity.
The MCP executes inside an V8 isolate sandbox. It only handles musical theory data (chord names and progressions). Your private keys are never stored, only used in transit through the zero-trust proxy.
You can. Run `find_substitutions` on a chord, get three different options, and then use `analyze_progression_tension` to see how each substitution affects the tension arc of the entire piece.

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