Miro Launches MCP Server Bringing Shared Visual Context to AI Coding
Miro, the AI Innovation Workspace designed to help teams collaborate more effectively, has announced the launch of its new Model Context Protocol (MCP) server, marking a significant step forward in AI-powered product development. Developed in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf (a Cognition Company), the MCP server enables seamless, bidirectional integration between Miro’s visual workspace and leading AI coding environments. As a result, teams can move from ideas to execution faster while staying aligned across functions.
As organizations increasingly adopt AI to accelerate development cycles, many still struggle to integrate AI meaningfully into real-world workflows. In many cases, AI tools operate in isolation, producing fragmented outputs that require extensive validation. This challenge becomes even more pronounced for non-engineering teams such as IT, security, and operations, where a lack of shared context can lead to misalignment and inefficiencies. Recognizing this gap, Miro’s MCP server directly connects the visual context teams already create in Miro with AI agents used throughout the organization.
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By grounding AI outputs in shared diagrams, decisions, and architectures, the MCP server ensures that insights generated by AI are not only faster, but also more accurate and trustworthy. Consequently, teams gain confidence that AI-driven results reflect real business decisions and cross-functional understanding rather than disconnected data points.
“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.”
Industry partners also see strong value in tighter integrations between visual collaboration and AI development tools. “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.”
Similarly, Replit highlighted how the MCP server bridges the gap between ideation and execution. “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.”
With this launch, Miro is introducing two core use cases aimed at modern product development. First, automated code visualization allows teams to generate architecture diagrams and detailed documentation directly from existing codebases, making onboarding and system understanding significantly easier. Second, context-aware code generation enables AI agents to leverage PRDs, design specifications, user research, and architectural diagrams from the Miro canvas, resulting in code that better fits existing systems and requires fewer revisions.
Importantly, the MCP server also incorporates Miro’s enterprise-grade security controls and governance policies. It currently integrates with a wide range of AI coding platforms, including Claude Code, AWS Kiro, GitHub Copilot, Gemini CLI, Windsurf, Cursor, Lovable, Replit, OpenAI Codex, VS Code, and Devin, positioning Miro as a central hub for context-driven AI development.
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