# Boreon™ · Boreon MCP Layer for Tableau, Databricks & Snowflake

URL: https://boreon.com/mcp
Language: en

> Ask Tableau Server or Cloud, Databricks and Snowflake anything in natural language, inside your own network, and move content when it helps.

---
Boreon MCP Layer

# Built for Tableau. Fluent in Databricks and Snowflake too.

The Boreon MCP Layer runs inside your own network, on the LLM you choose, and helps your team get the most from Tableau Server or Tableau Cloud, Databricks and Snowflake: ask in natural language, and live tables, your own views, Pulse, lineage and logs come right into the chat. When something belongs on another platform, anyone can ask for the move the same way, and every number is checked against the original. It's your team's migration and support companion, with our managed services a message away. You own it, and there are no license fees.

[Book a working session](https://boreon.com/contact) [See it live at ai.boreon.com](https://ai.boreon.com/)

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

**Tableau** Server or Cloud **Boreon MCP Layer** One layer over all three **Databricks · Snowflake** Tableau Server to Tableau Cloud, then every other route

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 natural language, and a governance scan turns up PII and stale content. The only thing it ever writes is a workbook you choose to publish.

[Meet the Boreon MCP Layer for Tableau](https://boreon.com/mcp/tableau)

For executives

## One message. A boardroom answer.

The Boreon MCP Layer gives leaders a calm place to talk with Tableau Server or Tableau Cloud. One question brings back the numbers from a live VizQL query, a chart and the answer in natural language, all together.

In English, Japanese, German, French, Italian and Russian.

Which region led sales, and which one should we watch?

Reading Tableau · Superstore · VizQL Data Service · read-only

**West leads** with $725K in sales. **Central** has the thinnest margin at 7.9%, so it is the region to watch.

| Region | Sales | Margin |
| --- | --- | --- |
| West | $725K | 14.9% |
| East | $679K | 13.5% |
| Central | $501K | 7.9% |
| South | $392K | 11.9% |

Open the Tableau view Publish to Tableau Drill into Central

Illustration with Tableau's Superstore sample data

[Governance and Operations](https://boreon.com/mcp/tableau-governance)

## What the scan finds.

It downloads every workbook and data source definition, not just what the Catalog indexes, so formulas and custom SQL are covered too.

- ### PII and PHI
  Every workbook and data source, calculated fields and custom SQL included.
- ### Leaked credentials
  Passwords and keys left in connections or formulas.
- ### Stale and unused
  Content nobody opens, and users who never sign in.
- ### Over-shared
  Over-permissioned content, and duplicate or orphaned data sources.

Governance scan

Scan the whole site for PII, PHI and leaked credentials.

1. Sales Pipeline Review Clean
2. Patient Intake PHI in 2 fields
3. Finance Close Password in a connection
4. Q3 Forecast (copy) Not opened in 212 days
5. Regional Ops Shared with All Users

Done. Four findings, each explained in natural language.

Illustration with sample workbooks

## 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

(Image: 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.)

[See the portal](https://boreon.com/mcp/portal)

Salesforce Agentforce

## When a question needs Tableau, Agentforce asks ours.

Your people talk to Agentforce inside Salesforce. When the answer lives in Tableau, the agent asks the Boreon MCP Layer, which reads your Tableau Server or Tableau Cloud site and does the Tableau Next work.

[Agentforce Agent](https://boreon.com/mcp/agentforce-agent) [Einstein Trust Layer](https://boreon.com/mcp/einstein-trust-layer)

Agentforce

Which of our dashboards are ready to move to Tableau Next?

Asking the Boreon MCP Layer

Four of six are ready. **Pipeline** and **Renewals** use two fields your semantic model doesn't have yet, **Region Target** and **Margin %**. Add them to the model, then plan again.

Answered with the Boreon MCP Layer

Illustration · sample data

Migrations

## Tableau and your warehouse, side by side.

Some dashboards work best right next to their data. Point the layer at your Tableau Server or Tableau Cloud site and ask for one in natural language. 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. Your Tableau stays just as it is.

Tableau Server or Cloud

Boreon MCP Layer One layer over all three

Databricks AI/BI dashboards · materialized views Snowflake Streamlit apps · dynamic tables

- Tableau Boreon MCP Layer Workbooks, data sources and Prep flows, read through Tableau's own APIs
- Databricks Dashboards to AI/BI dashboards with Genie, Prep flows to materialized views
- Snowflake Dashboards to Streamlit apps, Prep flows to dynamic tables

A dashboard on Tableau Server or Tableau Cloud can be rebuilt on your warehouse's own tools, and the original stays in Tableau. 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.

[Proof and Fidelity](https://boreon.com/mcp/proof)

## Proof comes with every migration.

Measured on your own workbooks, and shown to you before anything is published.

- ### A fidelity report per sheet
  What was mapped, approximated or left out, with a score.
- ### Parity with Tableau
  Each sheet's rows compared with Tableau's own answer.
- ### Queries proven first
  Every sheet runs on the warehouse before anything is published.
- ### A reason for anything it skips
  If it won't migrate something, it names it and says why.

*Rows matched against Tableau, per sheet*

| Sheet | Rows matched |
| --- | --- |
| Sheet 1 | **12** / 12 |
| Sheet 2 | **5** / 5 |
| Sheet 3 | **24** / 24 |
| 3 / 3 | **41** / 41 |

All 41 rows match · published

## Whatever you run, the portal is yours.

Anyone can ask a question in natural language and get a live answer from Tableau, Databricks or Snowflake, without writing SQL or filing a ticket. Every Databricks dashboard it shows has Genie built in, so the questions can keep going.

[See the portal](https://boreon.com/mcp/portal)

Your central LLM portal

Which region had the most failed calls last week?

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

| Region | Failed calls |
| --- | --- |
| us-east | 142 |
| eu-central | 97 |
| ap-northeast | 63 |
| us-west | 28 |

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](https://boreon.com/mcp/timeline)

## Explore the Boreon MCP Layer.

How the layer works, how it works with Salesforce and Agentforce, what it does for Tableau Server and Tableau Cloud, where your content can go, the portal your team keeps, and how we deliver all of it.

### 01Boreon MCP Layer

- [Overview Built for Tableau, fluent in Databricks and Snowflake](https://boreon.com/mcp)
- [How It Works Six engines and one semantic model, as one layer](https://boreon.com/mcp/layer)
- [Proof and Fidelity Every number checked against Tableau before it publishes](https://boreon.com/mcp/proof)

### 02Salesforce Agentforce

- [Agentforce Agent Our agents and yours, side by side in Salesforce](https://boreon.com/mcp/agentforce-agent)
- [Tableau Next Migration From Tableau, Salesforce CRM or CRM Analytics](https://boreon.com/mcp/tableau-next-migration)
- [Einstein Trust Layer Every AI call grounded, masked and audited](https://boreon.com/mcp/einstein-trust-layer)

### 03Tableau Server & Cloud

- [Ask Tableau Anything The Boreon MCP Layer over Server or Cloud](https://boreon.com/mcp/tableau)
- [Governance and Operations PII scans, stale content, TSM and failed jobs](https://boreon.com/mcp/tableau-governance)
- [Your LLM, Your Rules Bring your own model, hosted by you or in Switzerland](https://boreon.com/mcp/tableau-llm)

### 04Migrations

- [Migration Options Tableau Server to Tableau Cloud, then every other route](https://boreon.com/mcp/migrations)
- [Tableau to Databricks Server or Cloud to AI/BI and materialized views](https://boreon.com/mcp/tableau-to-databricks)
- [Tableau to Snowflake Server or Cloud to Streamlit apps and dynamic tables](https://boreon.com/mcp/tableau-to-snowflake)

### 05LLM Portal

- [The Portal That Stays One place to ask your data anything, with Genie built in](https://boreon.com/mcp/portal)
- [Agentic Support Cited answers, kind replies and a person when you need one](https://boreon.com/mcp/agentic-support)
- [Where It Lives One central MCP server inside your firewall](https://boreon.com/mcp/architecture)

### 06SDLC Projects

- [The SDLC Project Five phases with you, and then the platform is yours](https://boreon.com/mcp/sdlc)
- [Timeline to Go-Live Week by week, from the first kickoff to your go-live](https://boreon.com/mcp/timeline)
- [You Keep the Work The portal, the layer and the software stay yours](https://boreon.com/mcp/ownership)

[Next How It Works Boreon MCP Layer](https://boreon.com/mcp/layer)

## Bring one question, or one dashboard.

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

[Book a working session](https://boreon.com/contact) [See it live at ai.boreon.com](https://ai.boreon.com/)