Miro’s MCP Server exposes a team’s shared context in Miro—architecture diagrams, requirements, and decisions—to MCP-compatible AI tools. The result is more trusted, context-aware output across planning, code generation and reviews. Enterprise admins can enable it in Public Beta and scope access by org or team.

Bring organisational context to AI with Miro’s MCP Server

Great AI needs great context. With Miro’s MCP Server, teams can make the shared understanding they’re already creating on their boards—architecture diagrams, user flows, API specs and design decisions—available to AI tools in a standard way. That turns AI from a clever sidekick into a trustworthy partner across planning, building and review.

What is MCP, in plain English?

Model Context Protocol (MCP) is an open standard for connecting AI applications to external systems and data. Think of it as a universal port that lets assistants like Claude or ChatGPT securely read from and act on your tools via MCP servers and clients.

Why Miro built an MCP Server

Work decisions increasingly live in shared, visual spaces: product strategy, technical designs, system maps and trade-offs. When AI agents can see that context, outputs become faster to validate and easier to trust—especially beyond engineering, where re-explaining intent is expensive.

With Miro’s MCP Server, organisations can:

• Cut coordination cost by letting AI pull from the same diagrams and specs humans use.

• Improve trust in generated code and content through grounding in real architectures and decisions.

• Extend AI beyond code into planning, execution and review, not just generation.

From organisational context to engineering execution

A clear first use case is AI-assisted software delivery. MCP-compatible coding tools—such as those from Anthropic (Claude Code), GitHub (Copilot), OpenAI (Codex), Replit and others—can connect directly to the context on your boards so the code they suggest fits your patterns and constraints.

Code visualisation. Miro can surface code structure, visualise dependencies and generate architecture diagrams or technical docs directly from a repository, helping teams understand systems in minutes rather than days and derisk refactors before they start.

Context-to-code. Agents can read your diagrams, requirements and API specs to produce code that aligns with existing services and schemas—accelerating implementation and improving first-time correctness.

Teams using Replit and Windsurf have already highlighted faster, better-aligned development when product context flows straight into coding tools.

How to enable Miro MCP (Enterprise Plan)

Miro’s MCP Server is Public Beta and controlled at the Enterprise admin level. Admins can enable it for the whole organisation or specific teams; users then authorise access to individual boards they already have permission to view. Authentication runs through OAuth, and you can toggle MCP off at any time.

Quick steps (admins):

1. Admin settings → Apps & Integrations → MCP (Beta) → acknowledge beta terms.

2. Choose scope (organisation or selected team(s)).

3. Toggle on. Changes apply immediately; board-level permissions still govern access.

Where this fits in the standards landscape

MCP has rapidly become a widely adopted open standard across the ecosystem—including support from major vendors and platform teams—because it solves the “N×M” integration problem between many models and many tools. Recent references and docs reinforce that momentum.

Security & governance

• Principle of least privilege: Users can authorise agents only to boards they can already access; operations observe standard API rate limits.

• Enterprise control: Organisation/team scoping and an on/off toggle allow quick pilots and rapid pause if needed.

• Beta posture: Standard SLAs and indemnities may not apply during beta; review the beta terms before enabling.

Try it today

If you’re on an Enterprise plan, ask your workspace admin to enable MCP. No admin rights? Share the admin/user guides or contact your Miro customer success manager to get on the Public Beta. You can also explore connectors and demos from the MCP page.

FAQs

What is Miro’s MCP Server?
An implementation of the Model Context Protocol that exposes Miro board context (diagrams, specs, decisions) to MCP-compatible AI tools for grounded planning, coding and review.

Who can enable it?
Enterprise admins. They can scope enablement to the whole org or selected teams, and users still need permission to the specific board they authorise.

Is it generally available?
It’s in Public Beta. Review beta terms, governance and security posture before rollout.

Which AI tools does it work with?
MCP-compatible clients such as Claude Code, GitHub Copilot, OpenAI Codex, Replit and others. See the MCP connectors page for the current set.

What is MCP (the standard)?
An open, vendor-neutral protocol for connecting AI apps to tools and data—adopted across the industry and documented at the official site.