GoatCounter MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GoatCounter through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The GoatCounter MCP Server for Pydantic AI 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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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GoatCounter "
            "(14 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GoatCounter?"
    )
    print(result.data)

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.

Pydantic AI validates every GoatCounter tool response against typed schemas, catching data inconsistencies at build time. Connect 14 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 14 tools from GoatCounter with type-safe schemas

Why Use Pydantic AI with the GoatCounter MCP Server

Pydantic AI provides unique advantages when paired with GoatCounter through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GoatCounter integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your GoatCounter connection logic from agent behavior for testable, maintainable code

GoatCounter + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the GoatCounter MCP Server delivers measurable value.

Type-safe data pipelines: query GoatCounter with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple GoatCounter tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query GoatCounter and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock GoatCounter responses and write comprehensive agent tests

Example Prompts for GoatCounter in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting GoatCounter to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GoatCounter + Pydantic AI FAQ

Common questions about integrating GoatCounter MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GoatCounter MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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