OWOX MCP
Grow your business with data. Get trusted answers you can act on.
In your own AI chat — Claude or ChatGPT. Two prompts, an answer with a chart, every number traceable to SQL your analyst wrote. Zero AI hallucinations.
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Why OWOX
A general-purpose AI chat invents numbers when it has no governed data to read. OWOX MCP lets Claude or ChatGPT query your published Data Marts: the assistant narrates, analyst-approved SQL computes — so every number traces back to SQL and none is invented.
The analyst governs it. Business teams just ask & get trusted answers.
OWOX Data Marts is one governed surface with two very different experiences — the analyst who sets the boundary, and everyone else who just asks a question within their favorite AI tool.
THE ANALYST
You define what the AI can touch
Bring Data Marts, define the joins, set the quality checks. The LLM only ever reads what you allow – and you see every SQL query it runs, including invented-field attempts, in Run History.
You're the gatekeeper, not the bottleneck.
The Business Teams
You just ask, in your own AI chat
Connect OWOX to Claude or ChatGPT in one click. Ask your business a question in plain English and get an answer within your chat + a connected report in Google Sheets that you can refresh & share.
No dashboard hunting. No waiting on the queue.
Same governed marts. A different experience for every seat. — The analyst keeps control. Everyone else gets the answer, in the tool they already use.
For Data Teams
Govern data marts, not every request
Define the joins and quality checks once. See every AI query — including invented-field attempts — in Run History.

Set guidelines
Publish trusted Data Marts and define the joins — the trust boundary every AI answer respects. Set it up once; every future question inherits the same governance.

Trace SQL for every answer
Every question asked through MCP is logged — including any attempt to invent a field. You stay the gatekeeper, not the bottleneck.

ONLY Structured-SQL
The LLM never writes SQL. It narrates an answer built from your analyst-approved joins — the same question gets the same answer, every time.
For the CEO & AI Lead
Ask, and get an answer you trust
Connect in one click, ask in plain English, get a board-ready number with a chart — traceable to SQL your analyst wrote.

Ask in the AI chat you already use
Connect OWOX to Claude or ChatGPT in one click via OAuth. No new tool to learn, no raw warehouse access granted.

Get an answer with a chart
Ask your business a question in plain English and get a board-ready number back — visualized, and traceable to SQL your analyst wrote.

Push it to a Sheet
Keep any answer by sending it straight to a Google Sheet your team already watches — no copy-paste required.
Included from Senior Analyst and up
Everything business needs
Ask in your own AI chat
No new tool to learn — ask your business a question right inside Claude or ChatGPT, the AI chat you already use.
Answer with a chart, not a guess
Every question comes back with a visualized, board-ready answer — not a wall of numbers to interpret yourself.
Live in weeks, not quarters
No six-month semantic-layer project. Your analyst publishes a mart and defines the keys — MCP is live right after.
Every query logged in Run History
See every question the AI ever asked your data — including any attempt to invent a field. Nothing runs unseen.
An answer in two prompts
Stop waiting on the data queue. Ask now, get a governed answer back in seconds.
Zero hallucinations, by design
The LLM narrates; analyst-approved SQL computes. Every number traces back to SQL your analyst wrote — never invented.
The analyst sets the boundary once
Govern the marts and joins one time. After that, every question in the org runs inside that same trusted boundary.
No dashboard, no ticket, just ask
Skip the backlog. Get the number you need the moment you need it — straight from your own AI chat.
Frequently asked questions
Does the AI make up numbers?
No. AI narrates the answer; analyst-approved SQL computes it. The LLM never invents a field or a join.
Is it real-time?
No — MCP answers use the latest scheduled refresh, not a live query. That's deliberate: predictable cost, consistent numbers.
Does data leave our warehouse?
No. OWOX queries your data in place — BigQuery, Snowflake, Databricks, Redshift, or Athena — and never copies it out. The CEO sees analyst-approved governed outputs, not raw data.
Which AI chats work with OWOX MCP?
Claude and ChatGPT today. Cloud-only by design.
Will this replace our analyst?
No. MCP takes the grunt work off their plate. Your analyst keeps the judgment calls — governing the marts and joins — and becomes more valuable, not less.
How long does setup take?
Weeks, not quarters. There's no semantic-layer project first — your analyst publishes a mart and defines the keys.
Every claim has a receipt.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
“We regained time. And time is the one resource that never comes back.”
Ask your business a question tonight.
Get started free — connect Claude or ChatGPT in one click and get your first governed answer today.

- Internal OWOX data as of 2026-10-02
- G2 reviews of OWOX
- npm installs stat
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