How to Use the Measured MCP in Claude

Q: How do I configure Measured with my Claude Desktop app?

You open your claudedesktopconfig.json file and add the Measured MCP Server configuration under the mcpServers key. Once saved, restart Claude Desktop, and you will see the tools ready to pull your marketing data.

Q: Can Claude Desktop run Measured incrementality reports automatically?

Yes, your agent can call listreports and then run getincrementalityscores to analyze them. You just need to ask the desktop client to check your latest tests, and it handles the API requests in the background.

Q: What happens if my ad channels are not showing up?

Run listintegrations to verify which platforms are connected to your account. If a channel is missing, you can check listchannels to see what Measured is actively tracking.

Get real-time ROAS and incrementality metrics directly inside Claude Desktop to stop wasting your ad budget.

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Connect Measured MCP to Claude Desktop

Create your Vinkius account to connect Measured to Claude Desktop 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 Measured with Claude Desktop

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Spot true channel lift inside Claude Desktop

Stop guessing which of your ad channels actually drive sales. This Measured MCP Server lets your local Claude Desktop client pull real incrementality data directly into your chat. By running `get_incrementality_scores`, you can see which channels deserve more budget and which ones are just taking credit for organic traffic. It is about making decisions based on actual tests, not platform-reported metrics that double-count conversions. When you ask Claude to analyze your marketing mix, it pulls from `list_channels` to map your entire spend without you opening a single web browser tab.

Audit campaign spend with live data

Your local Claude Desktop setup can now query `get_campaign_performance` to pinpoint underperforming ad groups before they burn through your cash. Instead of exporting Measured CSVs and building pivot tables, you just ask your Claude agent to find the outliers. The tool pulls raw performance data and feeds it to Claude for immediate inspection. You can quickly run `get_performance_by_channel` to compare Facebook and Google Ads side-by-side using real, vetted incrementality metrics.

Generate executive-ready performance summaries

Preparing for a weekly marketing sync with Measured data takes hours of manual data gathering. Connect this MCP Server to Claude Desktop to run `get_performance_summary` and compile clean, executive-level updates in seconds. It works by pulling the latest data points and comparing them against historical trends. You can also use `list_reports` to find specific historical files and let your agent extract the key takeaways using `get_insights` without leaving your workspace.

Setup guide

Set up Measured MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Measured MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Measured MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under measured-mcp.

json

{
  "mcpServers": {
    "measured-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 Measured. 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 Measured MCP in Claude Desktop

You open your `claude_desktop_config.json` file and add the Measured MCP Server configuration under the `mcpServers` key. Once saved, restart Claude Desktop, and you will see the tools ready to pull your marketing data.

Yes, your agent can call `list_reports` and then run `get_incrementality_scores` to analyze them. You just need to ask the desktop client to check your latest tests, and it handles the API requests in the background.

The desktop app runs this MCP Server locally via stdio, meaning data stays in your local environment. This setup makes fetching large marketing datasets with `get_performance_summary` incredibly fast and secure.

Run `list_integrations` to verify which platforms are connected to your account. If a channel is missing, you can check `list_channels` to see what Measured is actively tracking.

This server only reads your ROAS, spend, and incrementality metrics. Vinkius runs the server in an isolated sandbox, meaning your raw financial and campaign data is never stored or used to train public models.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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