Miro®, the innovative AI workspace designed for teams, has recently introduced its Model Context Protocol (MCP) server. This development, in collaboration with industry leaders such as Anthropic, AWS, GitHub, Google, and Windsurf (a Cognition Company), aims to foster seamless integration between Miro’s AI workspace and coding environments. The goal is to enable teams to build the right products efficiently and effectively.
Miro’s MCP server connects the shared visual context that teams already create in Miro with AI agents across the organization.
Organizations recognize the potential of AI to accelerate their processes. However, challenges persist regarding how to integrate AI into actual workflows and decision-making, ensuring that the results are not only swift but also reliable. In the absence of a shared context, AI-generated outputs can appear disjointed, difficult to trust, and costly to validate—especially for teams outside engineering, including IT, security, and operations.
With Miro’s MCP server, teams can now intertwine their collective visual context, which is already established within Miro, with AI agents throughout the organization. This connection bolsters confidence that AI outputs are rooted in genuine architectures, informed decisions, and a true understanding among cross-functional teams.
“The shared cross-functional context that teams create in Miro is essential for unlocking the value of AI on a large scale,” stated Jeff Chow, Chief Product & Technology Officer at Miro. “When product, design, and engineering teams visually align on their intents and decisions, this shared context can then flow into agentic coding systems and back into collaborative discussions as projects evolve. By making this context easily accessible through MCP, we’re enabling organizations to fully capitalize on their AI investments.”
Simina Pasat, VP of Product at GitHub, also emphasized the importance of this development: “Millions of developers use GitHub Copilot for software development, increasingly adopting agentic workflows where MCP servers play a vital role. They help developers maintain their momentum by granting access to contextual information and tools across various systems. The closer integration with Miro means that engineering teams utilizing GitHub Copilot can easily access architectural diagrams, user stories, and design decisions without disrupting their workflow, creating a more efficient, rapid, and secure development experience.”
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“Miro’s MCP server introduces a robust workflow to transition from ideas to applications using Replit,” mentioned Jeff Burke, Head of BD and Partnerships at Replit. “By smoothly transferring context from Miro to Replit, teams can reduce friction and transition from concept to execution more swiftly. We look forward to seeing how Replit users leverage Miro’s MCP server to establish tighter feedback loops between ideation and implementation, leading to faster product delivery.”
With this launch, Miro establishes two fundamental use cases for product development workflows, with additional features to follow:
- Automated Code Visualization: Teams can generate system architecture diagrams and comprehensive documents directly from codebases within AI coding tools, uncovering component relationships and dependencies without necessitating manual reverse-engineering. This functionality empowers engineering and product teams to grasp existing codebases more effectively, whether onboarding new projects or integrating new team members.
- Context-Aware Code Generation: Context-driven AI development involves cross-functional team members directly in the development process. Elements such as PRDs, design specifications, user research, and existing codebase architecture—developed on the Miro canvas—serve as input for agentic coding. This results in more context-aware coding that aligns with existing systems, achieving more precise outcomes with fewer revisions.
Miro’s MCP server incorporates already established enterprise security controls and governance policies.
The complete list of AI coding platforms compatible with Miro’s MCP server includes: Claude Code, AWS Kiro, GitHub Copilot, Gemini CLI, Windsurf, Cursor, Lovable, Replit, OpenAI Codex, VS Code, and Devin.
