Turn AI answers into live views, not walls of text.
MCP UI lets you design the exact table, chart, or dashboard your team should see, then your AI shows it live, right inside the chat. Build it by dragging widgets. No developer, no second tool, no copy-paste into a spreadsheet.
Request guided accessInside your AI client
A question becomes a view
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See the answer, don’t decode it
Your team gets a clean table, chart, or KPI card right inside the chat — not a wall of raw data to squint at and second-guess.
Build it by dragging, not coding
Lay out the view by hand in minutes. No frontend developer, no design sprint, no app to ship and maintain.
Lives inside the AI you already use
The view appears directly in ChatGPT, Claude, and any MCP client. Nothing new for your team to open, learn, or log into.
Governed by the same rules
Every view obeys the exact boundaries you set — visible fields, approvals, audit trail. A prettier answer is still a safe one.
Renders inside ChatGPT · Claude · any MCP-compatible client
What is MCP UI?
The answer your team needs, shown, not described.
Most AI tools answer in paragraphs. MCP UI lets you decide what a good answer looks like (a sorted table, a trend chart, the one number that matters) and your AI delivers it that way, live, every time someone asks. You design it once by dragging widgets onto a canvas. Your whole team gets it inside the AI they already use.
The difference your team feels
Same question. A result people can actually act on.
A raw data dump makes people stop and decode. A clear view lets them decide. That gap is where confidence, and speed, is won or lost.
Without MCP UI
- A wall of JSON the AI dumps into the chat.
- Numbers nobody actually verified before acting on them.
- "Can you put that in a table?" — every single time.
- A separate BI tool or export to make it readable.
With MCP UI
- A clean, sorted table the moment the answer lands.
- Charts and KPIs your team trusts at a glance.
- The right layout, every time — because you designed it once.
- No second tool. The view is the answer.
How you build one
Drag it together in an afternoon. Use it for years.
No code. No deployment. The person who knows what the team needs to see is the person who builds it.
Drag the view together
Drop tables, charts, and KPI cards onto a canvas. Arrange them the way your team thinks.
Point each widget at your data
Connect a widget to a live entity from your ERP. No queries to write — just pick what it shows.
Turn it on
Enable the view. It instantly becomes something your AI clients can call and render.
Ask, and watch it appear
Your team asks a question in plain language — the live, interactive view shows up inside the chat.
The shortcut: a custom in-chat dashboard is normally weeks of frontend work. Here it’s a drag-and-drop afternoon — and it updates the instant your business changes its mind.
What goes on the canvas
The building blocks of a great answer.
Mix and match the pieces your team actually needs. Each one pulls live data the moment a question is asked.
Data tables
Sortable, readable rows of live records (overdue invoices, open orders, low stock) laid out the way your team reads them.
Charts
Bar, line, and pie views that turn raw numbers into a trend anyone can act on in a second.
KPI cards
The one number that matters (total at risk, orders today, days outstanding) front and center.
Lists & detail views
Browse a record set or drill into a single record without ever touching the raw system.
Card grids
Scan products, suppliers, or customers as tidy cards instead of dense spreadsheet rows.
Tabs & layouts
Group several views into one clean screen so a full answer fits in a single glance.
Why it changes the outcome
People act on what they can see and trust.
The format of an answer isn’t cosmetic — it decides whether someone acts now or sets it aside to "check later."
A paragraph of numbers your team has to take on faith — or copy out to check by hand.
A laid-out view people can scan, sort, and verify before they act on it.
Plain text answers
A paragraph of numbers your team has to take on faith — or copy out to check by hand.
With MCP UI
A laid-out view people can scan, sort, and verify before they act on it.
Re-asking "show that as a table" and hoping the format sticks next time.
The exact layout you designed, returned the same way every single time.
Plain text answers
Re-asking "show that as a table" and hoping the format sticks next time.
With MCP UI
The exact layout you designed, returned the same way every single time.
Exporting to a spreadsheet or standing up a separate dashboard tool.
The view renders inside the chat they’re already in. Nothing new to open.
Plain text answers
Exporting to a spreadsheet or standing up a separate dashboard tool.
With MCP UI
The view renders inside the chat they’re already in. Nothing new to open.
Every answer looks different depending on how the model decides to format it.
One view, built once, looks the same for everyone who asks.
Plain text answers
Every answer looks different depending on how the model decides to format it.
With MCP UI
One view, built once, looks the same for everyone who asks.
A clearer answer is a faster decision — and a decision people are willing to stand behind.
See it on your dataSafe by the same rules
A better-looking answer is still a governed one.
A view never becomes a loophole. It shows only what you’ve already approved, and anything it triggers passes through the exact same controls as every other action on the platform.
Start with a read-only view of data your team already trusts you to share. Add interactive actions later — every one of them still waits for the approvals you set.
A view can only show the entities and fields you’ve already approved — nothing leaks in just because it looks nice.
Hidden and sensitive fields stay hidden. The visual layer never becomes a side door to data.
Any action taken from a view runs through the same approval gates and audit trail as every other request.
Each person sees data resolved under their own access — a shared view never means shared credentials.
Frequently asked questions
Got questions? We have answers.
The most common questions from teams who want AI answers their people can actually use.
Request guided accessGive your answers a face
Stop reading data to your team. Start showing it.
Safely connect AI to your ERP before your next standup.
Bring one question your team asks every day. We’ll help you turn it into a live, interactive view that renders right inside the AI they already use — governed by the same rules, ready the same week.
Months of dev time eliminated
Auto-generated tools replace weeks of custom MCP server development.
No infrastructure to run
Fully managed. Nothing to install, host, or maintain.
Instant dashboards and UI
Live tables, KPIs, and review screens — no frontend developer needed.
One setup, every AI client
ChatGPT, Claude, Manus, custom agents — all from the same connection.
A good first step is small: one service, one user outcome, one visible control boundary.
Request guided access