If you’ve been told to switch from Google Analytics 4 to a privacy-first alternative, the question is which one. mcp-analytics is one option. Honest version: where we win, where Google wins, where the answer is “neither, you need something else.”
What “MCP-native” actually means for you
Google Analytics 4 is built for a marketing analyst sitting at a desktop browser, clicking through reports. mcp-analytics is built for a person who already lives in Claude or ChatGPT and wants their stats answered the same way they ask everything else.
Concretely, instead of:
- Open a tab
- Wait for GA4 to load
- Navigate to Reports → Engagement → Pages
- Set the date range
- Skim 30 rows
- Try to remember what you were doing before
The flow is:
You: "How did mysite.com do last week?"
Claude: "67,348 pageviews (up 8% on the prior week), 22k unique visitors,
bounce rate 41%. Top page was /pricing with 4.2k views.
Top referrer was Hacker News (1.8k visits). There's a post
from last Wednesday driving most of that."
That’s it. The MCP server picks the right tool, runs the query against ClickHouse, formats the answer. You stay in the conversation you were already having.
GA4 has no equivalent. There’s the GA4 API and Looker Studio for programmatic access, but neither is a chat interface. Both require building dashboards or writing code.
Where Google Analytics still wins
We aren’t shy. Real reasons to stay on GA4 exist:
You run paid acquisition through Google Ads. GA4 plus Google Ads is the most integrated attribution stack in the industry. Conversion modeling, audience export to Google Ads, view-through attribution. None of these are on our roadmap, ever. If your monthly Google Ads spend is bigger than your engineering payroll, switching is irrational.
You need cohort and funnel analysis. GA4’s Explore reports for funnels, retention cohorts, path analysis. Deep, with no parallel here. Our tooling is event-counting, not funnel-modeling.
You’re an e-commerce site with enhanced ecommerce events. Cart-add tracking, purchase events tied to product SKUs, checkout-step funnels. GA4 has battle-tested patterns. We support custom events but no e-commerce schema.
You have an existing data warehouse pipeline. BigQuery export from GA4 is free and a one-click setup. Our data sits in ClickHouse. You can query_sql on Enterprise, but no native BigQuery export.
Where mcp-analytics wins
Speed of getting an answer. This is the whole product, not a feature. When the question “is our traffic up?” takes 3 seconds in Claude versus 90 seconds in GA4’s UI, you ask it more often.
Privacy and GDPR posture. EU-hosted on Hetzner Falkenstein, no third-country transfer. In strict mode we don’t set cookies and don’t generate persistent visitor IDs. That means no cookie banner is legally required for analytics in most EU jurisdictions. GA4 requires a consent banner in the EU, full stop. Several DPA rulings (Austria 2022, France 2022, Italy 2022, Denmark 2023) have specifically found GA4 noncompliant when used in default configuration.
Cookieless tracking that still works. Our strict mode hashes (daily-rotating salt + site salt + IP + UA + site ID) to generate session IDs that last one day. Visitor IDs are zero (we don’t try to track across sessions). Surprisingly accurate for short-window questions. Not designed for long-term retention analysis.
No tab-switching. This isn’t a feature. It’s the whole product.
AI crawler visibility. GPTBot, ClaudeBot, PerplexityBot. GA4 silently filters these out so you can’t see them. We have eight traffic classes (user, ai_user_action, ai_crawler, verified_search_bot, unverified_bot, cloud_egress, headless_browser, unknown) and an MCP tool that breaks down hits by class. If you care about AI search showing up in your numbers, that visibility matters.
When neither is right
Two cases worth flagging:
- You’re a publisher with ad-revenue dependency on view-through attribution. Then you need GA4 plus a programmatic ad-server’s reporting. Neither standalone solution covers that.
- You’re on Shopify/Webflow/Squarespace and want analytics out of the box. Their built-in analytics will do for free. Switching to either GA4 or us is overkill until you outgrow it.
Pricing in detail
GA4 is free for the standard tier, a meaningful advantage in this comparison. GA360 (the enterprise tier) is a $50k/year contract. Different universe.
Our pricing:
- Free up to 100,000 hits/month, unlimited sites, all features. No credit card.
- Pro at €19/month for 10M hits, unlimited sites, all features (server-side SDK, bot taxonomy, deploy regression, 3-year retention).
- Enterprise from €299/month. Dedicated host,
query_sql, SLA.
For a typical indie SaaS or blog, free covers you indefinitely. Most paying users hit the cap because they have a large content site or run a popular newsletter. Not because they’re trying to fit more sites under one account.
Switching from GA4
Honest answer: run both in parallel for a month. Add our tracking snippet alongside GA4 (they don’t conflict), ask the same questions in both. You’ll see where each is stronger for your case.
Switch fully when you’re confident you can answer everything you need to through Claude or ChatGPT against mcp-analytics data. For most indie sites, that’s about a week of muscle-memory rewiring.
Try it
Sign up free, no credit card, no GA4 migration tooling needed. Add your domain, paste the snippet, ask Claude how it’s going.
Stuck on a specific question you currently answer in GA4 and aren’t sure if we can match it? Email us with the question. We’ll tell you straight up whether we can or whether GA4 is the better tool for that use case.