GoatCounter MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Count Hits, Create Site, Download Export, and more

Name: GoatCounter
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GoatCounter through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The GoatCounter MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="GoatCounter Assistant",
            instructions=(
                "You help users interact with GoatCounter. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from GoatCounter"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GoatCounter MCP Server

Connect your GoatCounter account to any AI agent to monitor your web traffic without compromising user privacy. This MCP server allows you to query detailed statistics, manage site configurations, and handle data exports through natural conversation.

The OpenAI Agents SDK auto-discovers all 14 tools from GoatCounter through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GoatCounter, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Traffic Insights — Retrieve pageview counts, total hits, and referral statistics for specific paths.
Visitor Analytics — Break down stats by categories such as browsers, operating systems, locations, and languages.
Data Portability — Initiate, monitor, and download full CSV/JSON data exports for external analysis.
Site Management — List all your registered sites, create new ones, or update existing site configurations.
Custom Event Tracking — Send hits or events directly from your backend or middleware to your GoatCounter dashboard.

The GoatCounter MCP Server exposes 14 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 GoatCounter tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to GoatCounter through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, privacy-focused, traffic-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

count

Count hits on GoatCounter

Send pageviews or events to GoatCounter

create

Create site on GoatCounter

Create a new site

download

Download export on GoatCounter

Download a completed export file

get

Get export on GoatCounter

Get export status and metadata

get

Get me on GoatCounter

Get current user and API key info

get

Get site on GoatCounter

Detailed information about a site

get

Get stats hits on GoatCounter

Overview of pageviews per path

get

Get stats hits path on GoatCounter

Referral statistics for a specific path

get

Get stats page on GoatCounter

Stats for specific categories (browsers, systems, etc)

get

Get stats page detail on GoatCounter

g., browser versions). Detailed stats for a specific item in a category

get

Get stats total on GoatCounter

Total pageview counts for a date range

list

List sites on GoatCounter

List all sites accessible by the user

start

Start export on GoatCounter

Returns an export ID to check status. Start a new data export in the background

update

Update site on GoatCounter

Update site settings

Connect GoatCounter to OpenAI Agents SDK via MCP

Follow these steps to wire GoatCounter into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 14 tools from GoatCounter

Why Use OpenAI Agents SDK with the GoatCounter MCP Server

OpenAI Agents SDK provides unique advantages when paired with GoatCounter through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

GoatCounter + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the GoatCounter MCP Server delivers measurable value.

Automated workflows: build agents that query GoatCounter, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries GoatCounter, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through GoatCounter tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query GoatCounter to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for GoatCounter in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GoatCounter immediately.

"Show me the total pageview counts for the last 30 days."

"List all the sites registered in my GoatCounter account."

"Get detailed stats for browser versions used by my visitors."

Troubleshooting GoatCounter MCP Server with OpenAI Agents SDK

Common issues when connecting GoatCounter to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

GoatCounter + OpenAI Agents SDK FAQ

Common questions about integrating GoatCounter MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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