Integrate GoatCounter with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCount hits on GoatCounter
Send pageviews or events to GoatCounter
Create site on GoatCounter
Create a new site
Download export on GoatCounter
Download a completed export file
Get export on GoatCounter
Get export status and metadata
Get me on GoatCounter
Get current user and API key info
Get site on GoatCounter
Detailed information about a site
Get stats hits on GoatCounter
Overview of pageviews per path
Get stats hits path on GoatCounter
Referral statistics for a specific path
Get stats page on GoatCounter
Stats for specific categories (browsers, systems, etc)
Get stats page detail on GoatCounter
g., browser versions). Detailed stats for a specific item in a category
Get stats total on GoatCounter
Total pageview counts for a date range
List sites on GoatCounter
List all sites accessible by the user
Start export on GoatCounter
Returns an export ID to check status. Start a new data export in the background
Update site on GoatCounter
Update site settings
Security & Code Integrity Audit
Every tool in the GoatCounter MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
How do I export all my analytics data for backup?
You can start a background export using start_export. Once processed, use get_export to check the status and download_export to retrieve the file.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using GoatCounter
Use GoatCounter with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Automating web analytics with AI
The GoatCounter toolkit provides structured tools for web analytics. It enables conversational interfaces like Claude Code to query and modify data within your productivity infrastructure.
Connecting privacy focused with Cursor
Add GoatCounter to your workspace to support privacy focused automation. The integration processes the required parameters for productivity execution by LLMs.
GoatCounter. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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