How to Use the GoatCounter MCP in OpenAI Agents SDK

Q: Can GoatCounter track user events in my OpenAI Agents SDK apps?

Yes, use the counthits tool to log custom events. It works just like a standard pixel but runs through your agent's logic.

Q: Does GoatCounter work with OpenAI Agents SDK for reporting?

It does. You can query getstatstotal to get traffic numbers directly into your agent's context.

Track privacy-first metrics directly in your OpenAI Agents SDK production pipeline with this MCP Server.

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Connect GoatCounter MCP to OpenAI Agents SDK

Create your Vinkius account to connect GoatCounter to OpenAI Agents SDK 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 OpenAI Agents SDK

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Real-time analytics for OpenAI Agents SDK

Send pageviews and custom events to your dashboard using `count_hits`. It keeps your traffic data flowing without requiring heavy third-party tracking scripts. Your agent handles the telemetry loop automatically. It ensures your production environment stays lightweight while capturing the visitor data you need.

Site management from your agent

Control your site settings programmatically using `update_site` and `create_site`. You don't need to leave your IDE or open a browser to adjust configurations. Everything stays within your agent's control. If you need to reconfigure a site, just tell the agent to execute the update.

Export data via MCP Server

Trigger background data exports with `start_export` and pull the files using `download_export`. It lets your agent batch process historical traffic logs for custom reporting. Your system monitors the status through `get_export`. Once the file is ready, your code handles the rest of the pipeline.

Setup guide

Set up GoatCounter MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all GoatCounter tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives GoatCounter tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GoatCounter tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="GoatCounter Agent",
            instructions="You have access to GoatCounter tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about GoatCounter MCP in OpenAI Agents SDK

Install the server and pass the endpoint to your agent constructor. The SDK discovers the tools automatically, letting you call them as standard Python functions.

Yes, use the `count_hits` tool to log custom events. It works just like a standard pixel but runs through your agent's logic.

It does. You can query `get_stats_total` to get traffic numbers directly into your agent's context.

Use environment variables to keep your credentials secure. The MCP Server only needs the key to authenticate your specific site requests.

It collects no personal data or cookies by design. The server only sees anonymous hit counts, ensuring your agent complies with strict privacy standards.

Use it with your favorite AI tools

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

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