m365-copilot-mcp
Integrates Microsoft 365 enterprise data into GitHub Copilot and Claude Desktop using Microsoft 365 Copilot APIs. It enables natural language queries across SharePoint, OneDrive, emails, calendars, and Teams meetings while maintaining full enterprise permission enforcement.
README
m365-copilot-mcp
MCP server for Microsoft 365 Copilot APIs — bring enterprise data into GitHub Copilot & Claude Desktop.
What This Does
Query SharePoint, OneDrive, email, calendar, and Teams meetings through natural language—all with full Microsoft 365 permission enforcement.
| Tool | API | What It Does | Best For |
|---|---|---|---|
m365_retrieve |
Retrieval | Returns text chunks for YOUR AI to reason over | Custom RAG, deep analysis |
m365_chat |
Chat | M365 Copilot synthesizes an answer | Quick Q&A, people/calendar |
m365_meetings |
Meeting Insights | AI summaries, action items, mentions | Post-meeting follow-up |
m365_search |
Search | Semantic document discovery | Finding files |
m365_chat_with_files |
Chat + Files | Ask questions about specific documents | Summarizing known files |
Requirements
- Microsoft 365 Copilot license (required for API access)
- Python 3.11+
- Azure AD app registration with delegated permissions
Quick Start
1. Create Azure AD App Registration
- Go to Azure Portal → Azure Active Directory → App registrations
- Click "New registration"
- Name:
m365-copilot-mcp - Supported account types: Single tenant (or Multitenant)
- Redirect URI:
http://localhost:8400(Mobile and desktop applications) - Add API permissions (Delegated):
Sites.Read.AllMail.ReadPeople.Read.AllOnlineMeetingTranscript.Read.AllChat.ReadChannelMessage.Read.AllExternalItem.Read.AllFiles.Read.AllOnlineMeeting.Read
- Grant admin consent
2. Install
# Clone the repo
git clone https://github.com/renepajta/m365-copilot-mcp.git
cd m365-copilot-mcp
# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install
pip install -e ".[dev]"
3. Configure
Create a .env file:
AZURE_CLIENT_ID=your-app-client-id
AZURE_TENANT_ID=your-tenant-id
4. Test Locally
# Run in HTTP mode for debugging
m365-copilot --http --port 8000
# Check health
curl http://localhost:8000/health
MCP Client Configuration
VS Code / GitHub Copilot
Add to your .vscode/mcp.json:
{
"servers": {
"m365-copilot": {
"type": "stdio",
"command": "uvx",
"args": ["--from", "git+https://github.com/renepajta/m365-copilot-mcp.git", "m365-copilot"],
"env": {
"PYTHONUNBUFFERED": "1",
"AZURE_CLIENT_ID": "your-app-client-id",
"AZURE_TENANT_ID": "your-tenant-id"
}
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"m365-copilot": {
"command": "uvx",
"args": ["--from", "git+https://github.com/renepajta/m365-copilot-mcp.git", "m365-copilot"],
"env": {
"AZURE_CLIENT_ID": "your-app-client-id",
"AZURE_TENANT_ID": "your-tenant-id"
}
}
}
}
Example Queries
# Quick Q&A (m365_chat)
"Who owns the budget approval process?"
"Summarize emails from Contoso this week"
"What meetings do I have tomorrow?"
# Deep research (m365_retrieve)
"Find all ADRs related to microservices architecture"
"Get policy documents about data retention from 2024"
# Meeting follow-up (m365_meetings)
"What action items came out of the security review?"
"When was I mentioned in yesterday's standup?"
# Document discovery (m365_search)
"Find contracts mentioning liability caps"
"Q3 board presentation slides"
# File analysis (m365_chat_with_files)
"Summarize key risks in this proposal"
"Compare revenue projections between these two reports"
Authentication Flow
On first run, you'll be prompted to authenticate:
- Browser auth (default): Opens browser for Microsoft sign-in
- Device code (fallback): For headless environments, displays a code to enter at microsoft.com/devicelogin
Tokens are cached locally in ~/.m365-copilot-mcp/ for subsequent runs.
Environment Variables
| Variable | Required | Description |
|---|---|---|
AZURE_CLIENT_ID |
Yes | App registration client ID |
AZURE_TENANT_ID |
Yes | Azure AD tenant ID |
AZURE_CLIENT_SECRET |
No | Only for confidential clients |
M365_COPILOT_TIMEOUT |
No | Request timeout in seconds (default: 60) |
M365_COPILOT_CACHE_DIR |
No | Token cache location |
Troubleshooting
"Insufficient permissions"
- Ensure admin consent is granted for all API permissions
- Verify user has Microsoft 365 Copilot license
"Token expired"
- Delete
~/.m365-copilot-mcp/and re-authenticate
"Gateway timeout" on long queries
- Break complex queries into smaller parts
- Use
m365_retrievefor better control over scope
API Rate Limits
| API | Rate Limit | Notes |
|---|---|---|
| Chat API | Not documented | Subject to Graph throttling |
| Retrieval API | 200 req/user/hour | Max 25 results per request |
| Search API | 200 req/user/hour | Max 100 results per request |
| Meeting Insights | Standard Graph limits | Available ~4 hours post-meeting |
Development
# Run tests
pytest tests/ -v
# Lint
ruff check src/
# Type check
mypy src/
License
MIT
References
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。