Introducing the Brizz MCP Server: Your AI Analytics, One Question Away

Every team building an AI product runs into the same wall. You ship something people love, usage climbs, and then the questions start: Where are people getting stuck? Which customers are at risk? What broke this week?

The data exists. It is just buried under three dashboards, two filters, and a vibe check. By the time you have pulled the report, the moment to act on it has usually passed.

Today we are tearing down that wall. The Brizz MCP server is live. You can now ask Brizz questions about your AI product straight from Claude, Cursor, Codex, or any other tool that speaks the Model Context Protocol.

One sentence, real answers

You stay in the tool you are already working in. You ask a question in plain English. Brizz answers using your live product data, not a stale export. There is no query language to learn and no dashboard to configure first. The whole idea is to remove every step between having a question and having the answer.

A few things people are already doing on day one:

Show me the overview for airline-bot.

You get the hero shot: top customers, biggest issues this week, headline metrics. The kind of thing a PM asks for every Monday morning, now answered in five seconds instead of a morning of clicking.

Run a weekly review for platform-assistant.

Trends, new issues, and where customers are running into trouble. The weekly review that used to eat an hour now narrates itself, and you can paste it straight into your team channel.

What are the top issues in airline-bot this week?

Brizz surfaces things like "Can't select seats on partner-carrier flights", real problems in your users' own words. Then you follow up, "show me the evidence for the first one," and it pulls the receipts: the actual sessions behind the pattern.

That is the whole loop. Ask, drill in, decide what to do next, without ever leaving your editor or chat. Each answer sets up the next question, so a five-second query can turn into a real investigation with no context switch.

Why a conversation beats another dashboard

Dashboards answer the questions you already knew to ask. You pick a metric, build a chart, and it faithfully shows you that one thing forever. The trouble is that the questions that matter most are usually the ones you did not anticipate, and those never have a tile waiting for them. A conversation flips the model. You bring the question, the data reshapes itself to answer it, and then it answers the follow-up you only thought of because of the first answer.

Putting that conversation inside the tools your team already lives in matters more than it sounds. Context does not get lost in a copy-paste between a BI tool and a doc. The person who has the question, whether or not they write code, is the same person who gets the answer, at the moment they actually need it.

Why this matters for your team

The effect shows up differently depending on where you sit:

1. For founders and PMs. The gap between "I wonder" and "I know" drops from days to seconds. Customer insight stops being a quarterly project and becomes a daily reflex, which changes both what you notice and how fast you can course-correct.
2. For support and CS. When a customer complains, you do not file a ticket and wait for engineering. You ask Brizz and have the answer before you hit reply, often with the exact session that shows what went wrong.
3. For engineering. The bug report arrives with the smoking gun attached. No more "can you send a session ID?" back and forth, because your AI assistant already pulled it. Less time reproducing, more time fixing.

The point is not more dashboards. It is that the most natural interface for understanding your product, a conversation, is finally the actual interface.

Get connected

Setup takes about two minutes. Inside Claude Code, add the server with one command:

claude mcp add --transport http brizz https://platform.brizz.dev/mcp

For Claude Desktop, Cursor, or Codex, drop this into your client's MCP config:

{
  "mcpServers": {
    "brizz": {
      "url": "https://platform.brizz.dev/mcp"
    }
  }
}

Sign in with your Brizz account once, and you are done. Full setup for every supported client is in the Brizz MCP docs.

The Bottom Line

The best product teams are not the ones staring at the most charts. They are the ones who can ask a question the second it occurs to them and act on the answer before the moment passes. The Brizz MCP server puts that conversation where your team already works, so understanding your AI product becomes something you do in passing rather than a project you schedule. The first question is usually the one that has been nagging you all week, so start there.

If you already have a Brizz account, you are one command away from talking to your product. If you do not, get in touch: the MCP server is included with Brizz. We would love to hear what you ask first, so drop us a note at contact@brizz.ai.