How we work with MCP & LLMs

Query your governed data from Claude, ChatGPT or Cursor via MCP, deployed and kept running by our team
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What is MCP?

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What it does

An open standard that lets an AI client work directly with your Kleene.ai account.
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How it works with Kleene.ai

The AI reads transforms, schema, logs and docs. Your data stays secured underneath.
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What it does for your business

Ask a question in your current workflow and get an answer grounded in your data, that you can trust.
how it works

How does MCP work?

Data gets cleaned and modeled

Kleene's ELT software pulls sources into your warehouse. Transforms define what revenue, customer and order mean for your team. This "semantic layer" is the only thing the LLMs or MCP see.

MCP is the door in for LLMs

MCP (Model Context Protocol) lets an AI client call tools securely. This lets it see your transforms, schema, logs and docs through it, without having to be in the Kleene.ai software.

Guardrails for security

Table previews are synthetic by default, with passwords and payment data removed. Access follows existing role permissions. Any code the AI generates is shown to you first, and you have final approval.
Features

What you can do with MCP now

Find and inspect transforms

"When did the revenue summary last run?"

Generate and optimize SQL

"Write a 30 day rolling revenue transform"

Debug pipelines

"Why did the orders pipeline fail last night?"

Browse schemas and tables

"What columns are on the Shopify orders table?"

Ask the Kleene.ai docs

"How do I set up an Asana connector?"

Work with the Orchestration Layer

Explore Orchestration
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COming soon

Where MCP is going

Ask questions, skip dashboards

"What were sales by region last week?"

Know what to do next

"Which accounts should we call this week?"

Questions for your team

"Give me 10 questions to ask the marketing team on Monday"

Query your models

"Which customer segment grew the most in the last 90 days?"

Test a scenario

"What happens to margin if we raise prices 3%?"

Guardrails built in

"Show me only what my role can see"
Read more

Explore MCP resources

How to setup MCP

Read our docs and learn how to enable MCP in the Kleene.ai app, letting you to connect your external AI assistant of choice.
Read docs
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MCP explained in full

Our CTO Harbinder Singh explains how MCP works, from current features to what's coming, and why we developed it.
Learn more
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MCP for data teams

Find out why MCP is useful for data teams, especially when they're using a data plaform and want to save time and effort day to day.
Learn more
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start your journey

Power your data with AI

Join leading businesses with modern data stacks who trust Kleene.ai
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Take a quick look inside KAI Assistant

Watch a product walkthrough and see how Kleene ingests your data, builds pipelines, and powers reporting – all in one place.
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