MCP use cases and example prompts

The jobs the Miro MCP server helps you get done, with prompts you can copy and adapt.

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Before you start

  • Ensure your MCP server is connected to your AI agent (Claude, Cursor, or another MCP client).
  • You have a board open, or a board name the agent can search for.
  • Miro MCP is team-specific, so pick the team that holds the board you want to work on.

Every prompt below assumes you point the agent at a specific board or ask it to create a new one. Swap the board names and details for your own.


🔎 Understand what is already there

Understand a customer problem

Pull signal out of a research or interview board without reading every sticky.

Read the "User Interviews - Onboarding" board, cluster the sticky notes by theme, and give me the top 5 pain points with a supporting quote for each.

You get a written summary of the themes and the ranked pain points, with pointers back to the notes.

Understand a technical system

Turn code or a written description into a picture of how the system fits together.

Here is our schema and the checkout service README. Create an ERD and a sequence diagram for the checkout flow on a new board.

You get diagrams laid out on the board that you can share in a review.


🗂️ Run sessions and align on decisions

Run a session or workshop

Set up the board before the meeting so you walk in ready to facilitate.

Build a sprint retro board with three columns (Start, Stop, Continue) and a voting area for 8 people.

You get a structured board with frames, sticky-note zones, and space to vote.

Drive and align on a decision

Lay out the options and the criteria so the group can make the call together.

Create a decision board for "Which auth provider?" with a criteria matrix comparing Auth0, Cognito, and Firebase, and a column for each stakeholder to weigh in.

You get a comparison matrix ready for the team to score and annotate.


🧩 Explore and converge on solutions

Explore possible solutions

Generate a wide set of options fast, then give them structure.

Brainstorm 15 ways we could reduce onboarding drop-off and lay them out as sticky notes grouped into themes.

You get a populated ideation board you can build on in a session.

Compare and converge on one solution

Narrow a long list down to a shortlist the team can commit to.

Take the ideas on the "Onboarding Ideas" board, build a 2x2 impact and effort matrix, and highlight the top 3.

You get a prioritization matrix with the strongest options called out.


🖇️ Map processes and technical approaches

Map a business process

Turn a process you can describe in words into a flowchart anyone can follow.

Map our refund process as a flowchart, from customer request to payout, including the approval steps.

You get a flowchart on the board with each step and decision point.

Decide on a technical approach

Compare approaches side by side, with a sketch of each, before you commit.

Compare a monolith and a microservices approach for this service as a pros and cons board, with an architecture sketch for each option.

You get a comparison board plus a diagram per option to talk through.


🧭 Scope and plan the work

Work out what to build

Shape a document or a rough idea into something the team can scope.

Turn this PRD into a user story map on a new board, organized by user activity and release.

You get a story map that frames the work by user journey.

Plan the work

Break the work into a plan the team can pick up.

Build a sprint planning board from these 12 tasks, grouped into two sprints, with an owner and an estimate on each card.

You get a planning board with cards, owners, and estimates in place.


💬 Act on feedback

Turn board discussion into next steps

Close the loop on comments instead of letting them pile up.

Read the open comments on the "Roadmap Q3" board, summarize the themes, and turn them into a checklist of next steps.

You get a summary of the discussion and a set of actionable items, and the agent can resolve comments as you work through them.


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What sits outside the MCP server

A couple of jobs live mostly outside Miro. Committing and executing a technical decision happens in your codebase, and continuously tracking a plan needs live data that syncs on its own.



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