Built in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf, Miro\u2019s MCP server helps product and engineering teams align faster and build with greater context<\/p>\n
Miro\u00ae, the AI Innovation Workspace for teams, today announced its\u00a0Model Context Protocol (MCP)\u00a0server. Built in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf (a Cognition Company), the MCP server creates bidirectional integration between Miro\u2019s AI Innovation Workspace and AI coding environments to help teams build the right things faster.<\/p>\n
Organizations understand that AI can help them move faster. But uncertainty remains around how to ground it in real workflows and decisions so that it\u2019s not just fast, but also accurate. Without shared context, AI outputs remain fragmented, hard to trust, and costly to validate \u2013 particularly for teams outside of engineering, such as IT, security, and operations.<\/p>\n
Miro\u2019s MCP server connects the shared visual context that teams already create in Miro with AI agents across the organization. Teams can have confidence that AI outputs are grounded in real architectures, real decisions, and real cross-functional understanding.<\/p>\n
\u201cThe cross-functional context teams create in Miro is critical to unlocking AI value at scale,\u201d said Jeff Chow, Chief Product & Technology Officer at Miro. \u201cWhen 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\u2019re helping organizations realize the full value of their AI investment.\u201d<\/p>\n
\u201cMillions 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,\u201d said Simina Pasat, VP of Product at\u00a0GitHub. \u201cCloser 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.\u201d<\/p>\n
\u201cMiro\u2019s MCP server unlocks a powerful new workflow to go from ideas to apps using Replit,\u201d said Jeff Burke, Head of BD and Partnerships at\u00a0Replit. \u201cBy seamlessly passing context from Miro to Replit, teams can reduce friction and move from concept to execution faster. We\u2019re excited to see how Replit builders use Miro\u2019s MCP server to create tighter feedback loops between thinking and making \u2013 and ship products faster as a result.\u201d<\/p>\n
With this release, Miro enables two foundational use cases for product development workflows, with more to be announced:<\/p>\n
Automated Code Visualization \u2013 Teams can generate system architecture diagrams and detailed documents directly from codebases within AI coding tools, revealing component relationships and dependencies without manual reverse-engineering. This empowers engineering and product teams to understand existing codebases when onboarding onto new projects or new team members.<\/p>\n
Context-Aware Code Generation \u2013 Context-driven AI development brings cross-functional team members directly into the development workflow. PRDs, design specs, user research, and existing codebase architecture \u2013 created on the Miro canvas become input for agentic coding development. The result is more context-aware code that understands an existing system and meets the mark with fewer revisions.<\/p>\n
Miro\u2019s MCP server includes existing Miro enterprise security controls and governance policies.<\/p>\n
The full list of AI coding platforms that Miro\u2019s MCP connects with is: Claude Code, AWS Kiro, GitHub Copilot, Gemini CLI, Windsurf, Cursor, Lovable, Replit, OpenAI Codex, VS Code, and Devin.<\/p>\n
Notes to editors<\/p>\n
Click\u00a0here\u00a0for more information on Miro\u2019s MCP server.The post Miro Launches MCP Server to Connect Visual Collaboration With AI Coding Tools first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Built in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf, Miro\u2019s MCP server helps product and engineering teams align faster and build with greater context Miro\u00ae, the AI Innovation Workspace for teams, today announced its\u00a0Model Context Protocol (MCP)\u00a0server. Built in collaboration with Anthropic, AWS, GitHub, Google, and Windsurf (a Cognition…<\/p>\n
The post Miro Launches MCP Server to Connect Visual Collaboration With AI Coding Tools<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-1006","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n