How to Use the GoatCounter MCP in Mastra AI

Q: Can Mastra AI automate GoatCounter site creation?

Yes, by using the createsite tool. You can build a workflow that triggers whenever a new project goes live, ensuring tracking is always active.

Q: Is GoatCounter compatible with Mastra AI agent memory?

Yes. Agents can store the results of getstatstotal in their shared memory. This allows subsequent steps in your workflow to make decisions based on past traffic.

Build resilient analytics workflows in Mastra AI that handle site management and data exports with automatic retries.

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Connect GoatCounter MCP to Mastra AI

Create your Vinkius account to connect GoatCounter 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 GoatCounter with Mastra AI

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Fault-tolerant site management in Mastra AI

Connect your agents to `create_site` and `list_sites` to automate infrastructure provisioning. If an API call fails, the workflow engine handles the retry logic automatically. You define the flow, and the agent executes the steps. It’s perfect for setting up new tracking environments without manual oversight.

Deep analytics retrieval for agents

Use `get_stats_hits_path` to let your agents research which pages are performing best. The agent analyzes the output and decides if it needs to adjust site settings via `update_site`. This creates a closed-loop system. Your agents aren't just reading data; they are actively maintaining the health of your tracking setup.

Efficient background task handling

Offload heavy data processing to `start_export` and `get_export`. Your Mastra AI workflows wait for the status to return success before pulling the file. It handles long-running jobs without blocking your main process. You maintain control over the entire execution chain through code.

Setup guide

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

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

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

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Common questions about GoatCounter MCP in Mastra AI

Yes, by using the `create_site` tool. You can build a workflow that triggers whenever a new project goes live, ensuring tracking is always active.

The MCP integration respects the standard tool output. You can configure your Mastra workflows to catch specific error codes and trigger recovery branches.

Yes. Agents can store the results of `get_stats_total` in their shared memory. This allows subsequent steps in your workflow to make decisions based on past traffic.

You provide the key via environment variables. The server uses it to sign requests, ensuring your credentials never leak into your workflow logs.

It only exposes aggregate hit counts and browser metadata. There is no PII in the tool responses, so your analytics remains privacy-focused.

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