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Miro has introduced its Model Context Protocol (MCP) server, developed in partnership with Anthropic, AWS, GitHub, Google, and Windsurf (a Cognition Company). The server establishes bidirectional integration between Miro's AI Innovation Workspace and leading AI coding environments, enabling product and engineering teams to align more effectively and build with richer, shared context.
Miro®, the AI Innovation Workspace for teams, today announced the launch of its Model Context Protocol (MCP) server. Created through collaboration with Anthropic, AWS, GitHub, Google, and Windsurf (a Cognition Company), this server facilitates bidirectional integration between Miro's collaborative canvas and various AI coding environments. The goal is to help teams build the right solutions faster by ensuring AI agents operate with comprehensive, shared visual context.
Many organizations recognize AI's potential to accelerate development, yet integrating it effectively into real workflows remains difficult. Without consistent shared context, AI outputs often become fragmented, difficult to trust, and expensive to verify—issues that impact not only engineering but also cross-functional groups such as IT, security, and operations.
Miro’s MCP server addresses this by connecting the visual context already built in Miro—such as system architectures, decisions, and cross-team alignment—directly to AI agents throughout the organization. This foundation allows teams to rely on AI deliverables that accurately reflect real systems, priorities, and collective understanding.
“The cross-functional context teams create in Miro is critical to unlocking AI value at scale,” said Jeff Chow, Chief Product & Technology Officer at Miro. “When product, design, and engineering align visually on intent and decisions, that shared context can flow into agentic coding systems and back into cross-functional discussions as work evolves. By making this context accessible through MCP, we’re helping organizations realize the full value of their AI investment.”
“Millions of developers use GitHub Copilot for software development and increasingly leveraging agentic workflows, of which MCP servers are incredibly valuable in keeping developers in the flow by giving access to context and tools across systems,” said Simina Pasat, VP of Product at GitHub. “Closer connection with Miro through their MCP integration means engineering teams using GitHub Copilot can better access architectural diagrams, user stories, and design decisions without having to leave their workflow, powering a smarter, faster, and more secure development experience.”
“Miro’s MCP server unlocks a powerful new workflow to go from ideas to apps using Replit,” said Jeff Burke, Head of BD and Partnerships at Replit. “By seamlessly passing context from Miro to Replit, teams can reduce friction and move from concept to execution faster. We’re excited to see how Replit builders use Miro’s MCP server to create tighter feedback loops between thinking and making - and ship products faster as a result.”
This release introduces two core use cases for product development workflows, with additional features planned for future announcements.
Teams can now generate system architecture diagrams and detailed documentation directly from codebases within supported AI coding tools. This capability reveals component relationships and dependencies automatically, removing the need for manual reverse-engineering and supporting faster onboarding for new projects or team members.
By incorporating cross-functional inputs from the Miro canvas—such as product requirements documents (PRDs), design specifications, user research, and existing architecture—directly into agentic coding workflows, the MCP server produces code that is better aligned with the broader system context. This leads to higher-quality outputs and significantly fewer revisions.
Miro’s MCP server fully incorporates the platform's existing enterprise security controls and governance policies.
The server connects with the following AI coding platforms: Claude Code, AWS Kiro, GitHub Copilot, Gemini CLI, Windsurf, Cursor, Lovable, Replit, OpenAI Codex, VS Code, and Devin.
By bridging visual collaboration with AI-powered development, Miro's MCP server strengthens context continuity across the product lifecycle, helping organizations capture greater value from their AI investments while maintaining alignment and accuracy.
About Miro
Miro is the AI Innovation Workspace that brings teams and AI together to plan, co-create, and build the next big thing, faster. Serving more than 100 million users across 250,000 customers, Miro empowers cross-functional teams to flow from early discovery through final delivery on a shared, AI-first canvas. With the canvas as the prompt, Miro's collaborative AI Workflows keeps teams in the flow of work, scales shifts in ways of working, and drives organization-wide transformation. Founded in 2011, Miro currently employs more than 1,600 people in 13 hubs around the world.
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