Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your GoatCounter API Key and your instance URL
- Start analyzing your web traffic from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Web Developers — monitor site performance and visitor trends without leaving the code editor.
- Data Analysts — automate the extraction of privacy-compliant analytics for custom reporting.
- Site Owners — get quick summaries of daily traffic and top-performing content via simple chat commands.
Built-in capabilities (14)
Send pageviews or events to GoatCounter
Create a new site
Download a completed export file
Get export status and metadata
Get current user and API key info
Detailed information about a site
Overview of pageviews per path
Referral statistics for a specific path
Stats for specific categories (browsers, systems, etc)
g., browser versions). Detailed stats for a specific item in a category
Total pageview counts for a date range
List all sites accessible by the user
Returns an export ID to check status. Start a new data export in the background
Update site settings
Why Vercel AI SDK?
The Vercel AI SDK gives every GoatCounter tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GoatCounter integration everywhere
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Built-in streaming UI primitives let you display GoatCounter tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
GoatCounter in Vercel AI SDK
GoatCounter and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect GoatCounter to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for GoatCounter in Vercel AI SDK
The GoatCounter 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
GoatCounter for Vercel AI SDK
Every tool call from Vercel AI SDK to the GoatCounter MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see which browsers my visitors are using?
Yes. Use the get_stats_page tool with the 'browsers' category to see a breakdown of visitor browser statistics for your chosen date range.
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.
Is it possible to track custom events from my server code?
Absolutely. The count_hits tool allows you to send pageviews or custom events directly to GoatCounter from any backend or middleware.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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