Mural AI

AI features that turn messy Mural canvases into shared team understanding

Beginner API
Screenshot of Mural AI, AI features that turn messy Mural canvases into shared team understanding

What is Mural AI?

Mural AI is a task completion tool. Mural AI adds mind mapping, clustering, summaries, sentiment classification and ideation prompts directly to Mural's collaborative canvas, plus an MCP route for external AI agents and Microsoft 365 Copilot support. Useful for teams that need to make sense of large sticky note sessions.

Mural AI is the artificial intelligence layer built into Mural, the visual collaboration platform teams use for workshops, brainstorming and planning. Rather than a standalone chatbot, it lives on the canvas itself. Teams generate mind maps to open up a topic, group sticky notes by theme, summarize what a board contains, or classify feedback by sentiment, all without leaving the workspace. That placement matters: the output arrives where the discussion is already happening, so the group can react to it together. The feature set splits roughly into five jobs. AI mind mapping produces and expands visual maps of ideas and connections. Clustering sorts sticky notes by topic or other criteria so patterns surface quickly. Summaries and synthesis pull key themes and takeaways out of accumulated canvas content. Sentiment analysis and classification tag notes so feedback trends become visible. Ideation support generates prompts, questions, hypotheses and opportunity statements as raw material for the team to refine. A separate route exists through Mural MCP, which lets an external AI agent create and edit canvas content, pull in research, documents, transcripts or tickets, and later push outcomes out as summaries, action items or tickets. Microsoft 365 Copilot users can also find murals and templates and summarize canvas text through Copilot. The audience is anyone running collaborative sessions that tend to drown in sticky notes: facilitators, product and design teams, consultants, and workshop leaders who need to converge on themes fast. Beginners can lean on clustering and summaries without writing a prompt; the heavier MCP and agent workflows are aimed at teams already invested in an AI assistant. Against whiteboard rivals and general chat tools, Mural AI competes on context: it works over the artifacts your team already produced. The trade-off is scope. This is not a general writing or image assistant, and the AI is only useful once there is canvas content to work with. Mural publishes guidance on its security and responsible AI posture, including human oversight and customer control, which enterprise buyers will want to read before rolling it out.

How do you use Mural AI?

  1. 1Open or create a mural
    Sign in to Mural and open an existing workspace or start a fresh canvas. Mural AI works on content that already exists, so a board with notes or ideas gives it something to process.
    Mural AI — Open or create a mural
  2. 2Pick a starting AI feature
    Review the available capabilities (mind mapping, clustering, summaries, classification and ideation) and choose the one that matches the session goal. Each runs on the canvas rather than in a separate chat window.
    Mural AI — Pick a starting AI feature
  3. 3Generate a mind map
    Start a mind map from a prompt or topic and let the AI expand branches directly on the canvas. The team then edits and prunes the map together as a shared starting point.
    Mural AI — Generate a mind map
  4. 4Cluster and classify the sticky notes
    Run AI clustering to sort notes by topic or another criterion, then use sentiment classification to tag feedback. The grouped output makes themes and disagreement easier to spot and discuss.
    Mural AI — Cluster and classify the sticky notes
  5. 5Summarize and share the outcome
    Generate a summary of the canvas to surface key themes and takeaways. Use that output to align the room or brief people who were not present.
  6. 6Connect an AI agent through MCP
    For heavier workflows, wire your AI assistant into Mural via MCP so it can add context, edit canvas content and turn decisions into summaries, action items or tickets.

Pros and cons

Pros

  • AI actions run on the canvas, so results stay next to the discussion the team is already havingAI
  • Clustering and sentiment classification make large sticky note volumes readable in minutesAI
  • Summaries convert canvas content into themes and takeaways for people who missed the sessionAI
  • MCP support lets an external AI agent create, edit and organize canvas contentAI
  • Microsoft 365 Copilot integration surfaces murals, templates and canvas summariesAI

Cons

  • No standalone intelligence: with an empty or thin canvas there is almost nothing for the AI to work withAI
  • Enterprise value depends on rollout and permissions, so smaller teams may find the AI layer optionalAI
  • MCP and agent workflows assume an existing AI assistant, which adds setup and another vendorAI
  • Published security and responsible AI material needs review before regulated or sensitive sessionsAI
  • Copilot-dependent features are only useful to organizations already inside the Microsoft 365 ecosystemAI

How much does Mural AI cost?

Support

Help center articles cover using Mural AI, AI clustering and AI-powered mind maps. Contact options for support and sales are listed, and a system status page tracks service availability.

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Integrations

Mural MCP lets an external AI chatbot create and edit canvas content and move research, transcripts and tickets into Mural. A Microsoft 365 Copilot agent finds murals and templates and summarizes canvas text. A developer API and an integrations directory also exist.

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Features

AI mind mapping that generates and expands visual idea maps on the canvas; clustering that groups sticky notes by topic or criteria; summaries and synthesis that pull key themes from canvas content; sentiment analysis and classification of notes; ideation support for generating questions, hypotheses and opportunity statements; Mural MCP for agent-driven canvas edits and a Microsoft 365 Copilot connection.

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Frequently asked questions about Mural AI

  • Does Mural AI have an API?
    Yes, Mural AI offers an API.
  • How do you use Mural AI?
    The walkthrough on this page covers 6 steps: 1. Open or create a mural 2. Pick a starting AI feature 3. Generate a mind map 4. Cluster and classify the sticky notes 5. Summarize and share the outcome 6. Connect an AI agent through MCP.
  • What platforms does Mural AI support?
    Mural AI is available on Web App, iOS, Android, Windows and MacOS.
  • What does Mural AI integrate with?
    Mural MCP lets an external AI chatbot create and edit canvas content and move research, transcripts and tickets into Mural. A Microsoft 365 Copilot agent finds murals and templates and summarizes canvas text. A developer API and an integrations directory also exist.
  • What are the limitations of Mural AI?
    No standalone intelligence: with an empty or thin canvas there is almost nothing for the AI to work with. Enterprise value depends on rollout and permissions, so smaller teams may find the AI layer optional. MCP and agent workflows assume an existing AI assistant, which adds setup and another vendor.

Status

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Added10/21/2026

Platforms

Web AppiOSAndroidWindowsMacOS

Pricing

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