Enables AI agents to programmatically query the Microsoft 365 Roadmap for upcoming changes and feature details.
Sponsored
This Python-based server provides a Model Context Protocol (MCP) interface, allowing AI agents to structurally query the Microsoft 365 Roadmap. It addresses the challenge of manually navigating the M365 Roadmap website by empowering AI agents to act as release managers. Organizations can leverage this tool to proactively identify features, understand their impact on multi-million dollar contracts and deployment schedules, and answer complex filtering questions about M365, Teams, and SharePoint updates, such as specific cloud availability or recent additions.
Características Principales
01Query by keyword, product, status, and cloud instance
02Filter by release phase (e.g., General Availability, Preview)
03Retrieve full metadata for specific roadmap IDs
04List features added or modified within a specified number of days
051 GitHub stars
06Filter by platform (e.g., Web, Desktop, iOS, Android)
Casos de Uso
01Track all features added to the M365 roadmap in the last 30 days for proactive planning.
02Check availability of new features like Copilot for specific government clouds (e.g., GCC High).
03Identify Microsoft Teams features currently rolling out for release management.
