How to Use the Umami (Privacy Analytics) MCP in Mastra AI

Q: Can I retrieve detailed event data using Umami (Privacy Analytics) with Mastra AI?

Yes, you use getwebsiteeventdata to get event data grouped by specific events. This allows your workflow to process and analyze granular details automatically.

Q: What is the scope of Umami (Privacy Analytics) for user management in Mastra AI?

The server lets you administer users via createuser, getuser, or updateuser. These admin tools are critical when building automated workflows that require specific permissions.

Q: How do I verify the operational status of Umami (Privacy Analytics) within Mastra AI?

You can use the verifytoken tool. This simple check confirms if your current API token is still valid, preventing failed steps in a complex workflow.

Build complex, fault-tolerant analytics workflows with Mastra AI and Umami (Privacy Analytics).

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Connect Umami (Privacy Analytics) MCP to Mastra AI

Create your Vinkius account to connect Umami (Privacy Analytics) to Mastra AI 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 Umami (Privacy Analytics) with Mastra AI

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Perplexity

Automate Marketing Attribution

Set up multi-step marketing analysis using the `create_attribution_report` tool. This helps your workflow decide if a campaign was successful, regardless of initial failures. You can sequence data gathering by calling other tools like `get_website_metrics` to feed into a report, ensuring every piece of required context is available before the final step runs.

Manage Core Website Assets

Control your analytics infrastructure directly from complex workflows. You can create new websites using `create_website` or delete old ones with `delete_website`, making the process reliable. For user management, use `get_user` to retrieve specific account details before running conditional logic like role assignment or access level checks.

Generate Specific Performance Reports

Don't just get raw numbers; build tailored reports. Call `create_report` with parameters defined by functions like `get_session_stats`, which provides summarized session data. The workflow can also handle targeted pixel creation (`create_pixel`) and link management (`list_links`), ensuring the tracking mechanism is correctly deployed before reporting begins.

Setup guide

Set up Umami (Privacy Analytics) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Umami (Privacy Analytics) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "umami-privacy-analytics-mcp-client",
  servers: {
    "umami-privacy-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Umami (Privacy Analytics) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Umami (Privacy Analytics) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Umami (Privacy Analytics) transactions"
);
console.log(result.text);

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Common questions about Umami (Privacy Analytics) MCP in Mastra AI

The MCP Server supports multi-step operations, allowing your Mastra AI client to branch or retry tasks. You can chain together tool calls—like getting stats then creating a report—to handle failure gracefully.

Yes, you use `get_website_event_data` to get event data grouped by specific events. This allows your workflow to process and analyze granular details automatically.

The server lets you administer users via `create_user`, `get_user`, or `update_user`. These admin tools are critical when building automated workflows that require specific permissions.

The server touches user account information, including IDs and associated team details. The `get_user` tool allows retrieval of this identity data needed to build compliant workflows.

You can use the `verify_token` tool. This simple check confirms if your current API token is still valid, preventing failed steps in a complex workflow.

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