DataUnmess.aiDataUnmess.ai
DataUnmess AI character transforming connected data into quality, processing, and automation metrics

DataUnmess.ai

Free during beta. Bring your own AI.Works with

Turn messy data into business insights with the AI your team already pays for.

Free beta
Try free: connect your AI
Create an MCP key, copy one prompt, and start building.
See it build

Live MCP demo

Ask your AI.
Get a live dashboard.

Codex, Claude, Gemini, ChatGPT, Cursor, or Windsurf calls DataUnmess through MCP and publishes a reusable dashboard instead of leaving insights inside a chat thread.

3 steps
to connect
0 tokens
on reload
Live
workspace artifact
Claude Desktop
You
Assistant
DataUnmess | query_data -> build_chart x5
DataUnmess
Revenue Overview
Postgres | last 30 days
live
Revenue
125.4k
+12.5%
Conversion
3.24%
-0.5%
Avg Order
$68
+5.2%
Users
8.4k
+6.1%
Sales by Category
ElecClothHomeSportBooksToysMisc
Revenue Trend
JanFebMarAprMayJunJul
Traffic Sources
11.0kvisitors
Stacked Revenue
Q1Q2Q3Q4
waiting for prompt...

A complete data platform

Four surfaces.
One workspace.

Pipelines, flowcharts, data science, and dashboards - all driven by your AI of choice through MCP. No data team required to wire it up.

Data Pipelines

Sketch the ETL, then watch your AI fill it in. SQL transforms, joins, aggregations, derives - validated on a sample before it runs against your warehouse.

Flowcharts

Diagram pipelines, decision trees, architecture. Mermaid in, dash flows out. Editable by AI or hand, with auto-layout and per-node icons.

Data Science

Soon

Conversational analysis on your data - cohort splits, regressions, attribution. Returns charts, not text walls.

Dashboards

Live multi-chart layouts. KPIs, time series, distributions, comparisons - re-querying your real warehouse on every reload.

What chat artifacts can't do

Not another artifact in a chat.

Claude.ai and ChatGPT already draw charts - for a conversation, with fake data, locked to one vendor. DataUnmess gives your AI a real warehouse, a persistent team workspace, and artifacts it can re-query every time you open them. No tokens spent on reload.

No AI-provider API tokens. Any AI.

Create a DataUnmess MCP key, then paste our hosted MCP endpoint into Codex Desktop, Claude Desktop, ChatGPT, Cursor, Claude Code, or Windsurf. Use the flagship model your subscription already unlocks through that client.

Live data, not frozen demos

Connect Postgres, MySQL, Snowflake, ClickHouse, BigQuery, CSV, Excel, Google Sheets (via Google Picker), or any REST API. Charts carry a query spec and re-run on every reload - zero AI tokens to open a saved dashboard.

Teams, not conversations

Workspaces with viewer / editor / owner roles. Dashboards and flows belong to the team - not to the chat that generated them. Invite, share, revoke.

Lineage & flow editor

Trace how a metric was built. Model data pipelines visually with interactive lineage graphs. Data-engineering-grade, not chat-grade.

Executable data pipelines

Ask the AI to clean a Google Sheet, file, or warehouse table ("dedupe by email", "split full_name", "normalize phone numbers"). Python by default, SQL pushdown for same-database flows. Previews the result, then writes to a NEW destination - your original is never touched. Land rows in your own DB or in managed DataUnmess storage.

20+ chart types

Bar, line, donut, area, scatter, treemap, funnel, radar, sankey, heatmap, waterfall, gantt, ridgeline, and more.

Data science exploration

Aggregate, filter, and visualize through conversation. The AI writes the SQL; you see the charts.

AI edits everything

"Remove the dollar sign." "Sort descending." "Switch to ocean theme." Every UI setting is also reachable through natural language.

15+ themes

Carbon, Ocean, Sunset, Glow, Ember, and more - or build your own. Switch themes via chat or the Style panel.

Undo works on AI edits

Every AI action goes through the same history stack as a manual edit. Ctrl+Z rolls back anything.

How it works

First visit
to first useful artifact.

1

Login and create a key

Open the MCP key page, sign in, and create a workspace key. The key is free during beta and stays in your local AI client config.

> Open /account/mcp-server
2

Paste one setup prompt

Use one adaptive prompt for any MCP-capable client. After the config is saved, restart or reload the AI client so it discovers DataUnmess MCP.

> Copy the universal setup prompt
3

Check if MCP is connected

Replace the placeholder with your real key, restart or reload the AI client, then paste the onboarding prompt. If the AI starts the flow, MCP is connected.

> Start DataUnmess Memory onboarding

First asks

The first prompt should guide the work.

Once the MCP server is connected, your first ask can be small: catalog the company, inspect a file, or build one dashboard. DataUnmess turns that into persisted workspace artifacts.

See MCP onboarding
starter prompts
>Start DataUnmess Memory onboarding and ask me for my company site
>Create a dashboard from my database or a file
>Propose new insights and dashboards we could create
>Query the orders table and chart the top 10 customers
>Clean my Q1 leads sheet - dedupe by email and split full_name
>Import my Stripe charges from the last 30 days into a managed table
>How much of my plan have I used this month?
>Add KPI cards, a revenue trend, and breakdown by region
>Change card id:3 to a bar + line chart
>Add the month-over-month difference to the revenue chart
>Sort the bar chart descending
>Switch to the sunset theme

Two ways to deploy

Connect your AI and use it,
or hire our onboarding.

Free beta - self-serve

Try free: connect your AI

Create a free MCP key, paste one prompt into your AI client, confirm the setup is done, then ask DataUnmess to build with your data.

  • Create a DataUnmess MCP key and keep it out of chat
  • Use Codex, Claude, Gemini, ChatGPT, Cursor, or Windsurf
  • Team workspace with viewer / editor / owner roles
  • Full chart library, themes, lineage, flows
Try free
Talk to us

Hire our onboarding setup

We plan and execute the data integrations, then build the insights and artifacts for you. Turnkey for teams with data but no engineer to spare.

  • We plan the data integrations for your source systems
  • We execute the SQL pipelines, data models, KPI definitions
  • We build the insights - dashboards, flows, analyses - around your team's questions
  • Ongoing iteration + support

Start with one prompt.
Keep the results.

Connect your AI through MCP, then keep dashboards, catalogs, flows, and analysis inside a shared DataUnmess workspace.

Free beta
Try free: connect your AI
Create an MCP key, copy one prompt, and start building.