Find the right data fast
"I'm starting a project on customer churn, what data do we have and who owns it?" Atlan MCP returns the named, relevant datasets and their owners. What used to take days of asking around becomes one question.
Connect all your business systems and pull context across your data estate into one living graph.
Give humans the context they need to understand your business.
AI teammates that document tacit knowledge and make your data AI-ready.
Bootstrap, test, and ship the business understanding every AI needs.
The world's first context store engineered natively for AI.
Finance
Technology
Manufacturing
Media
Healthcare
Retail
EP 03
Business users don't know table names, and don't want to. When a question comes up, they want to know where to find the data, whether they can trust it, and who owns it, without learning the catalog UI or filing a ticket and waiting on the data team.
Atlan MCP lets them ask in plain English from the tools they already use, and get an answer grounded in your catalog: the certified source, the agreed definition, and the owner. In this session, we'll show it answering real questions, and a community member will share how their team uses it. No ticket, no waiting on the data team.
"I'm starting a project on customer churn, what data do we have and who owns it?" Atlan MCP returns the named, relevant datasets and their owners. What used to take days of asking around becomes one question.
Ask "what's our official definition of an active customer?" and Atlan MCP returns the company-agreed definition and the certified data behind it, so you're not working off a guess or tribal knowledge.
Someone working in the same stack, with the same Monday-morning questions, walks through how their team actually uses this: the prompt they ran, what came back, and what it changed. The days of waiting, gone, and the quiet confidence the answer's right.
This is the lowest-barrier way to get a trustworthy data answer. You leave knowing anyone on your team can find data, confirm they can trust it, and see who owns it, without learning a new tool.
01
"I'm starting a project on customer churn, what data do we have and who owns it?" Atlan MCP returns the named, relevant datasets and their owners. What used to take days of asking around becomes one question.
02
Ask "what's our official definition of an active customer?" and Atlan MCP returns the company-agreed definition and the certified data behind it, so you're not working off a guess or tribal knowledge.
03
Someone working in the same stack, with the same Monday-morning questions, walks through how their team actually uses this: the prompt they ran, what came back, and what it changed. The days of waiting, gone, and the quiet confidence the answer's right.
04
This is the lowest-barrier way to get a trustworthy data answer. You leave knowing anyone on your team can find data, confirm they can trust it, and see who owns it, without learning a new tool.
Steven Hloros is a Senior Customer Education Manager at Atlan who helps organizations get more value from their data. He works closely with customers to connect governance, metadata, and AI into practical workflows—and more recently, to bring trusted context into the AI tools their teams use every day through Atlan MCP.


Steven Hloros
Sr. Customer Education Manager
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