Disclaimer: This is an independent, self-built project and is not an official Microsoft tool or service.
M365 Roadmap MCP Server
A Python-based MCP (Model Context Protocol) server that enables AI agents to query the Microsoft 365 Roadmap programmatically.
Strategic Rationale
For organizations relying on Microsoft 365, Teams, or SharePoint, the "Roadmap" is the single source of truth for upcoming changes. However, navigating the roadmap website manually is cumbersome and disconnected from technical planning workflows. "When is Copilot coming to GCC High?" is a question that affects multi-million dollar contracts and deployment schedules.
Existing research indicates that while RSS feeds exist, there is no tool that allows an AI agent to structurally query this data to answer complex filtering questions. A "Roadmap Scout" MCP server empowers the Agent to act as a release manager, proactively identifying features that enable new capabilities or threaten existing customizations.
Prompt Examples
Once connected to an MCP client, you can ask questions like:
- Search by product and status: "What Microsoft Teams features are currently rolling out?"
- Check government cloud availability: "Is Copilot available for GCC High yet?"
- Find recent additions: "Show me everything added to the M365 roadmap in the last 30 days"
- Get feature details: "Tell me more about roadmap feature 534606"
- Government cloud planning: "My agency is on GCC High. Which OneDrive features can we expect?"
Installation
Prerequisites
- Python 3.11+
- An MCP-compatible client (Claude Desktop, Cursor, Claude Code, GitHub Copilot CLI, etc.)
From PyPI (recommended)
Using uvx (requires uv):
uvx m365-roadmap-mcp
To update to the latest version:
uvx m365-roadmap-mcp@latest
Install uv if you don't have it:
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
irm https://astral.sh/uv/install.ps1 | iex
Or install with pip (no uv required):
pip install m365-roadmap-mcp
# Update to latest
pip install --upgrade m365-roadmap-mcp
Quick Setup
One-click install: Click VS Code badge for automatic setup (requires
uvinstalled) Manual install: See instructions below for Cursor, Claude Code, Copilot CLI, or Claude Desktop
Client Configuration
Running the server
uvx m365-roadmap-mcp
Or if installed with pip:
m365-roadmap-mcp
Claude Desktop
Add to your Claude Desktop MCP config:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Using uvx (recommended)
{
"mcpServers": {
"m365-roadmap": {
"command": "uvx",
"args": ["m365-roadmap-mcp"]
}
}
}
Using installed package
{
"mcpServers": {
"m365-roadmap": {
"command": "m365-roadmap-mcp"
}
}
}
Cursor
Option 1: One-Click Install (Recommended)
cursor://anysphere.cursor-deeplink/mcp/install?name=m365-roadmap-mcp&config=eyJjb21tYW5kIjogInV2eCIsICJhcmdzIjogWyJtMzY1LXJvYWRtYXAtbWNwIl19
Option 2: Manual Configuration
Add to your Cursor MCP config:
- macOS:
~/Library/Application Support/Cursor/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json - Windows:
%APPDATA%\Cursor\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
Claude Code
claude mcp add --transport stdio m365-roadmap -- uvx m365-roadmap-mcp
GitHub Copilot CLI
Add to ~/.copilot/mcp-config.json:
{
"mcpServers": {
"m365-roadmap": {
"type": "stdio",
"command": "uvx",
"args": ["m365-roadmap-mcp"]
}
}
}
Features
Provides a single search_roadmap tool that handles all M365 roadmap queries. Combine any filters:
- Keyword search -- Find features by keyword in title/description
- Product filter -- Filter by product tag (Teams, SharePoint, etc.)
- Status filter -- Filter by status (In development, Rolling out, Launched)
- Cloud instance filter -- Filter by cloud instance (GCC, GCC High, DoD)
- Feature lookup -- Retrieve full metadata for a specific roadmap ID
- Recent additions -- List features added within the last N days
- Release phase filter -- Filter by release phase (General Availability, Preview, Targeted Release)
- Platform filter -- Filter by platform (Web, Desktop, iOS, Android, Mac)
- Rollout date filter -- Filter by general availability date (e.g., "2026-03", "2026")
- Preview date filter -- Filter by preview availability date (e.g., "2026-07", "2026")
- Recently modified -- List features modified within the last N days
Data Source
This MCP server pulls data from Microsoft's public roadmap API:
- API Endpoint:
https://www.microsoft.com/releasecommunications/api/v2/m365 - Authentication: None required (public endpoint)
- RSS Mirror:
https://www.microsoft.com/microsoft-365/RoadmapFeatureRSS(same data, RSS format)
This is the same data that powers the Microsoft 365 Roadmap website. The legacy endpoint (roadmap-api.azurewebsites.net) was retired in March 2025.
Coverage and Limitations
The API returns approximately 1,900 active features -- those currently In Development, Rolling Out, or recently Launched. This is a hard cap; older or retired features age out of the API and are no longer returned. The roadmap website may display historical features that are no longer present in the API.
License
MIT
Metadata
Release files for m365-roadmap-mcp 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| m365_roadmap_mcp-0.4.0.tar.gz | 380.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| m365_roadmap_mcp-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 393.7 kB
Release files / m365_roadmap_mcp-0.4.0.tar.gz
| Download URL | m365_roadmap_mcp-0.4.0.tar.gz |
|---|---|
| Size | 380.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / m365_roadmap_mcp-0.4.0-py3-none-any.whl
| Download URL | m365_roadmap_mcp-0.4.0-py3-none-any.whl |
|---|---|
| Size | 12.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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eb08da598eeeb3a45abbee6350600af8da994d8e51e7bdfc2ef5d29d66382180
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 4, 2026.
Transparency log