---
title: "Build Your Dashboard on Trusted Data - Recording | Summer of MCP"
url: "https://atlan.com/summer-of-atlan-mcp-dashboards-recording/"
description: "A dashboard is only as trustworthy as the data behind it. Stop pinging the data team to ask \"is this the right table?\" Find governed, certified sources, confirm you can trust them, and build your next dashboard right the first time."
keywords: "Atlan MCP, trusted data, certified data sources, dashboard governance, metric definitions, Model Context Protocol, data catalog, business analysts, Summer of MCP"
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

Recording of the Summer of MCP episode "Build Your Dashboard on Trusted Data" (EP 02 of the Build with Atlan MCP series). A dashboard is only as trustworthy as the data behind it. Stop pinging the data team to ask "is this the right table?" Find governed, certified sources, confirm you can trust them, and build your next dashboard right the first time.

- Recording: [Build with Atlan MCP: Build Your Dashboard on Trusted Data on Vimeo](https://vimeo.com/1212407491) (uploaded 2026-07-23)
- Learn more: [Atlan MCP](https://atlan.com/mcp/)

## What you'll see

1. **Find out it already exists.** From a ticket requesting a new dashboard, Atlan MCP searches the catalog and surfaces a certified asset that already answers it. You go back to the requestor with "this already exists, here it is," instead of building a duplicate.
2. **Build the new one on governed data.** When nothing fits, Atlan MCP confirms the gap, finds the right source data in your warehouse, checks it's trustworthy through lineage and certification, and suggests the dataset to produce and the shape to build on it. You start from governed data, not a guess.
3. **A community member shows it in production.** 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.
4. **Start every build on data you trust.** "Is this the right table?" stops being a day of Slack. You leave able to start every dashboard from a source you've already confirmed you can trust. That's the day back, and a dashboard you can stand behind.

## More from the series

- [Debugging and Impact Analysis (recording)](https://atlan.com/summer-of-atlan-mcp-debugging-impact-analysis-recording/)
- [Bring Context to Every Data Question](https://atlan.com/summer-of-atlan-mcp-data-discovery/)