Skip to content

Boreon MCP Layer

Built for Tableau. Ready for Databricks and Snowflake.

The Boreon MCP Layer sits over your Tableau Server or Tableau Cloud site and answers questions in plain words, with live tables, your own views, Pulse, lineage and logs right in the chat, on the LLM you choose. When you decide to move, the same layer takes your dashboards and Prep flows to Databricks or Snowflake and checks every number against Tableau. Either way, it stays on as your chat portal. You own it, and there are no license fees.

6
languages, from English to Japanese
3,000
Tableau help pages behind every how-to
96%
fidelity, measured on a real Tableau workbook
Genie
built into every Databricks dashboard
TableauServer or Cloud Boreon MCP LayerOne layer over all three Databricks · SnowflakeFrom Tableau Server or Cloud, or between Databricks and Snowflake

Tableau Server & Cloud

Start with the Tableau you already have.

Nothing has to move. The layer reads your Tableau Server or Tableau Cloud site through Tableau's own APIs, so people can ask questions in six languages, admins get failed jobs explained in plain words, and a governance scan turns up PII and stale content. The only thing it ever writes is a workbook you choose to publish.

The screen your team signs in to.

One field, five presets and a conversation that remembers. Every answer ends with the next step to take.

Boreon AI · Analytics MCP Data & AI Portal
The Boreon Analytics MCP Data & AI Portal home: one field to ask the MCP AI agent about your data, dashboards or data warehouse, with presets to show your Databricks dashboards, migrate a Tableau workbook to Databricks, browse Databricks catalogs and schemas, list your Tableau Prep flows and sync your semantic layer.

Migrations

From Tableau to the tools your warehouse already runs.

When you're ready to move, point the layer at your Tableau Server or Tableau Cloud site and ask for a dashboard. On Databricks it comes back as an AI/BI dashboard with Genie built in, sitting on a materialized view built from its Prep flow. On Snowflake it comes back as a Streamlit app on a dynamic table.

Boreon MCP Layer One layer over all three
  • Tableau Boreon MCP LayerWorkbooks, data sources and Prep flows, read through Tableau's own APIs
  • DatabricksDashboards to AI/BI dashboards with Genie, Prep flows to materialized views
  • SnowflakeDashboards to Streamlit apps, Prep flows to dynamic tables

A Tableau migration starts on Tableau Server or Tableau Cloud and lands on your warehouse's own tools. Hover or tap a platform to trace its path.

Why platform migrations stall.

  1. Dashboards are rebuilt by hand

    Someone re-authors every sheet and rewrites every calculation in SQL, one workbook at a time.

  2. Prep flows hide the real logic

    The data a workbook reads is often shaped by a Prep flow nobody has documented.

  3. Each platform needs its own experts

    Each platform speaks its own language, so business users end up waiting on specialists.

So the project drags on, and the people who needed answers are still waiting when it ends.

On Tableau or after the move, the portal is yours.

Anyone can ask a question in plain words and get a live answer, from Tableau today and from your warehouse after a move, without writing SQL or filing a ticket. Every Databricks dashboard it shows has Genie built in, so the questions can keep going.

Your central LLM portal

Which region had the most failed calls last week?

Live from Databricks: failed calls by region, last seven days.

RegionFailed calls
us-east142
eu-central97
ap-northeast63
us-west28
Illustration · sample data

MVP in two weeks. Live in a month.

We start with the dashboards you care about most and prove them in the first two weeks. Then we finish the rollout and hand you the keys.

  1. 2 weeks MVP
  2. 1 month Final deployment
  3. Go live Your portal, yours to keep
  • Your central LLM portal
  • One central MCP server
  • No license fees
See the week-by-week plan

Bring one question, or one dashboard.

Ask your Tableau Server or Tableau Cloud site something you really want to know, or pick the dashboard you would move first. Either one becomes the first thing we set up, and what we build stays yours.