How to Use the Blended CAC Calculator MCP in Windsurf

Q: How does Blended CAC Calculator help with budgeting in Windsurf?

Simply set a goal: optimize spending. The MCP will use assessbudgetefficiency to calculate optimal channel distribution percentages, giving you actionable budget targets.

Run complex financial models with Windsurf; let Cascade manage your blended CAC Calculator workflow.

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Connect Blended CAC Calculator MCP to Windsurf

Create your Vinkius account to connect Blended CAC Calculator to Windsurf — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Blended CAC Calculator with Windsurf

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Automate CAC Trend Analysis

Cascade handles the initial data crunching. Use `analyze_mom_trend` to track changes in TotalSpend or CAC month over month. A positive result means your cost is rising, signaling an immediate need for budget review. This capability lets your agent automatically detect performance shifts. It surfaces whether your current marketing spend trajectory is improving (negative) or deteriorating (positive).

Optimize Spend Allocation

Need to know where the money should go next? `assess_budget_efficiency` figures out optimal channel distribution. You provide period data, and it returns ranked channels along with suggested budget percentages and clear recommendations. This is perfect for automated planning; Cascade reads the raw numbers and spits out a prioritized action plan for your marketing team.

Calculate Core Metrics

Start simple by calculating basic CAC metrics. `calculate_cac_metrics` takes spending data from various channels and calculates both per-channel and overall blended CAC for any given time period. It generates the fundamental financial inputs needed before optimizing spend, giving you a precise starting point for your financial models.

Setup guide

Set up Blended CAC Calculator MCP in Windsurf

Prerequisites

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

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

Add the Blended CAC Calculator 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

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

Verify in Cascade

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

mcp_config.json

{
  "mcpServers": {
    "blended-cac-calculator-mcp": {
      "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 Blended CAC Calculator. 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 Blended CAC Calculator MCP in Windsurf

Simply set a goal: optimize spending. The MCP will use `assess_budget_efficiency` to calculate optimal channel distribution percentages, giving you actionable budget targets.

Yeah, Cascade handles that. You just tell it the goal—like 'check for cost increases.' It automatically runs `analyze_mom_trend` to surface if your CAC is worsening or improving over time.

It takes raw spending inputs, like channel names and spend amounts. The system processes this JSON structure through the MCP to generate accurate metrics.

Since it provides structured trend data and suggests reallocation percentages, you can build those inputs into your autonomous financial models. The results are based on the historical spend ratios provided.

This MCP only touches transactional spending data (channel name and amount spent). It never handles user PII, keeping your financial inputs isolated and secure.

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