Trello has launched support for the MCP standard, allowing popular AI assistants including ChatGPT, Claude, Gemini, and Cursor to create and manage Trello boards, lists, and cards through natural language commands, removing the manual step traditionally required.
- Trello MCP enables AI assistants to directly manage boards and tasks via conversational prompts.
- MCP support expands AI usage beyond software teams to nearly half of Trello’s user base.
- Available now for Standard, Premium, and Enterprise Trello users with multiple AI assistant integrations.
What happened
Trello introduced support for MCP, a standard that enables AI assistants to interact directly with apps like Trello. This upgrade allows integrations with AI tools such as ChatGPT, Claude, Gemini, and Cursor. Users can issue natural language prompts to create boards, generate lists and cards, add checklist items, and manage deadlines without leaving the chat interface.
This innovation streamlines the transition from planning conversations to actionable task management, eliminating the need to recreate or transfer plans manually. It reflects a significant shift in how AI can enhance everyday productivity tools for a broad audience, not just developers or software teams.
Why it matters
By embedding AI assistant capabilities into Trello workflows, Atlassian is transforming how millions organize projects, from personal events like weddings to professional tasks like team offsites. Nearly half of MCP users are outside of software teams, demonstrating broad adoption and value across diverse user groups.
This integration reduces friction and saves time, helping users move from ideation to execution faster. It also redefines Trello as not only a task management tool but a dynamic, AI-driven productivity platform that adapts to natural interactions rather than manual input.
What to watch next
Monitor how AI-powered workflows influence Trello usage patterns, especially with the rollout of seven additional AI features for paid plans set to further automate routine tasks. These advancements could significantly boost user productivity and set a new standard for collaborative work management tools.
Additionally, watch for expanded AI integrations beyond the currently supported assistants and possible adoption of MCP standards by other productivity platforms, driving a wider ecosystem of seamless AI application interoperability.