How to Use the Matomo MCP in Mastra AI

Q: How do I initialize the Matomo tools inside Mastra AI?

Instantiate an MCPClient with your Vinkius server URL in the configuration object. Mastra auto-detects the transport layer and registers the tools.

Q: Does Mastra AI support human-in-the-loop for Matomo data?

Yes. You can flag operations like getgoals to require manual approval. The workflow pauses until an admin verifies the request.

Q: How does the agent track specific website configurations?

It calls listsites to grab the available properties. Then it uses getsitedetails to pull the exact configuration for the target domain before running any queries.

Build reliable, multi-step traffic analysis workflows in Mastra AI using direct Matomo integration.

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Connect Matomo MCP to Mastra AI

Create your Vinkius account to connect Matomo 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 Matomo with Mastra AI

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Automated Metric Branching

`get_visits_summary` and `get_site_details` give your Mastra AI workflows the baseline metrics they need to trigger conditional logic. Your workflow pulls the daily summary and decides whether to alert the marketing team or keep quiet. Mastra handles the retries automatically. If the analytics database drops the connection, the framework applies exponential backoff until the query succeeds. You never drop a daily report due to a timeout.

Attribution Pipeline Automation

`get_top_pages` and `get_top_referrers` feed your automated attribution pipelines. The agent grabs the highest performing content and maps it against inbound traffic sources. You define these operations inside a structured agent workflow utilizing this MCP server. If the traffic from a specific referrer drops below a threshold, the script branches off to investigate the specific URLs.

Live Visitor Profiling in Mastra AI

`get_live_last_visits` and `get_visitor_profile` let your workflows react to user behavior as it happens. When a high-value customer hits a specific page, the system pulls their history instantly. You spread these tools into your Agent configuration using `mcpClient.listTools()`. If you need human oversight before acting on a VIP visitor alert, you just enable `requireToolApproval` on the specific tool.

Setup guide

Set up Matomo 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 Matomo 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: "matomo-mcp-client",
  servers: {
    "matomo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Matomo. 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 Matomo MCP in Mastra AI

Instantiate an `MCPClient` with your Vinkius server URL in the configuration object. Mastra auto-detects the transport layer and registers the tools.

Mastra wraps every tool call in its workflow engine. If the analytics server hangs, the backoff mechanism kicks in to ensure the pipeline eventually completes.

Yes. You can flag operations like `get_goals` to require manual approval. The workflow pauses until an admin verifies the request.

It calls `list_sites` to grab the available properties. Then it uses `get_site_details` to pull the exact configuration for the target domain before running any queries.

This MCP server handles sensitive behavioral tracking records via `get_visitor_profile`. Vinkius secures this transit using zero-trust authentication, meaning the agent only retains access for the exact millisecond required to execute the tool before the token drops.

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