Teams | Collaboration | Customer Service | Project Management

19 million tool calls and counting: who's using Miro's MCP server

AI agents have made more than 19 million tool calls to Miro’s MCP server since February 2026, and the users behind them span product, design, marketing, operations, and project management. When we launched Miro’s MCP server in February, we had AI coding tools in mind.

How we ditched the content spreadsheets and scaled 60% with AI Teammates

Tracking 15 pieces of content across 5 channels in a spreadsheet while chasing approvals in Slack is no way to do strategy. See how Asana's Content Strategist AI Teammate took over the pipeline—so the focus could go back to the work that actually matters. Chapters.

The Atlassian platform is for multiplayer human-agent work

Over the last two decades, millions of teams have run their work on Atlassian, writing code, shipping products, and supporting customers across billions of workflows. Our platform is also where they make the hard calls, prioritizing which features to build, deciding which customer problems to chase, and choosing where to invest their resources.

Atlassian MCP brings more of your work within reach of any AI agent

When we delivered Atlassian MCP a little under a year ago, the idea was simple: let the AI tools your teams already use – Claude, ChatGPT, Cursor – reach the work that lives in Atlassian. The response was immediate. Now, we’re seeing more than 15M calls a day as it’s become the first thing teams reach for when they want to connect AI to their work. But teams have made it clear they want more. More products, more context, and more of the whole job done.

Inside One Founder's AI Product Copilot, Built on Miro MCP

Leandro Barreto didn't set out to build a company. He set out to help his son. As a solo founder, Leandro built Epilog, an epilepsy tracking app, almost entirely with Miro as his AI product copilot. He started with sticky notes and a rough idea on a Miro board, then connected Miro MCP directly to his IDE so his AI coding assistant could pull the data model straight off the board. From there, the same AI reviewed the architecture like a solution architect, caught duplicated data and missing entities, and turned the fixes into a 22-item project roadmap.

Is SaaS dead? Zendesk CEO Tom Eggemeier on AI Agents, Outcome-Based Pricing, and more | Human[X]

Is the SaaS apocalypse real, or is software just evolving? In this Human interview, Zendesk CEO Tom Eggemeier discusses how artificial intelligence is transforming customer service, software pricing, and the tech landscape. Tom shares why he believes traditional seat-based pricing is officially dead, how Zendesk is shifting toward outcome-based models and automated resolutions, and what it takes for software companies to survive the AI transition over the next few years.

AI sharpens the individual. Does it dull the room?

Individual AI adoption has outpaced our ability to redesign how teams actually work together. The numbers back it up. In Forrester’s “The Visual Era of Collaborative Intelligence”, 89% of leaders say improving collaboration is key to hitting their organization’s goals – yet 75% agree most AI tools are built for individual, not team productivity, and 39% say that individual-first bias is actively hurting their AI ROI.