Microsoft Graph MCP

Microsoft Graph MCP

Enables AI assistants to interact with Microsoft 365 through the Microsoft Graph API, including searching Teams messages, managing chats, and sending messages.

Category
访问服务器

README

Microsoft Graph MCP

A Model Context Protocol (MCP) server that connects AI assistants to Microsoft Graph API. Search Teams messages, manage chats, send messages, and interact with your Microsoft 365 environment through natural language in Claude and other AI assistants.

🚀 Quick Start

Configuration

Claude Code

Add the server using the Claude Code CLI:

claude mcp add -s user \
    microsoft-graph \
    npx mcp-microsoft-graph@latest \
    -e "MS_GRAPH_CLIENT_ID=your_client_id" \
    -e "MS_GRAPH_TENANT_ID=your_tenant_id"

Manual Configuration (Any MCP Client)

Alternatively, add this configuration to your MCP client's configuration file:

{
  "mcpServers": {
    "microsoft-graph": {
      "command": "npx",
      "args": ["mcp-microsoft-graph@latest"],
      "type": "stdio",
      "env": {
        "MS_GRAPH_CLIENT_ID": "your_client_id",
        "MS_GRAPH_TENANT_ID": "your_tenant_id"
      }
    }
  }
}

Get Your Azure AD Credentials

To get your CLIENT_ID and TENANT_ID:

  1. Go to Azure Portal → Azure Active Directory → App registrations
  2. Click New registration
  3. Give it a name (e.g., "MCP Microsoft Graph")
  4. Set Supported account types to "Single tenant"
  5. Click Register
  6. Copy the Application (client) ID - this is your MS_GRAPH_CLIENT_ID
  7. Copy the Directory (tenant) ID - this is your MS_GRAPH_TENANT_ID

Required Permissions

Configure these permissions in your Azure AD app:

  1. Go to API permissions → Add a permission → Microsoft Graph → Delegated permissions
  2. Add these permissions:
    • User.Read - Read user profile
    • User.ReadBasic.All - Read all users' basic profiles
    • Chat.ReadBasic - Read basic chat properties
    • Chat.ReadWrite - Read and write chats
    • ChatMessage.Read - Read chat messages
    • ChatMessage.Send - Send chat messages
  3. Click Grant admin consent (if you have admin rights)

Authenticate

Run the authentication command once to sign in:

npm run auth

This will open a browser window for you to sign in with your Microsoft account.

✨ Features

  • 💬 Teams Chat Management - Search, create, and manage Teams chats
  • 📨 Message Operations - Send messages, search conversations, get chat history
  • 👥 User Discovery - Search users and get profile information
  • 🔍 Powerful Search - Search across all Teams messages with KQL syntax
  • 🎯 Smart Mentions - @mention users in messages
  • 🔒 OAuth Authentication - Secure Azure AD authentication flow
  • 🎨 Rich Formatting - Markdown support in messages

🛠️ Available Tools

The server provides 8 MCP tools for Microsoft Graph operations:

User Management

  • get_current_user - Get your own profile information
  • search_users - Search for users by name or email
  • get_user - Get detailed information about a specific user

Chat Operations

  • search_chats - Search chats by topic or member name
  • create_chat - Create new 1:1 or group chats

Message Operations

  • get_chat_messages - Retrieve messages from a specific chat
  • send_chat_message - Send messages with Markdown and mentions
  • search_messages - Search across all Teams messages using KQL

💡 Example Queries

  • "Search for chats with John Smith"
  • "Show me recent messages from the Engineering chat"
  • "Send a message to the Dev Team chat saying the deployment is complete"
  • "Search all Teams messages mentioning the Q4 roadmap"
  • "Create a group chat with Alice, Bob, and Carol about the new project"
  • "Find all urgent messages from last week"
  • "Get my user profile information"

🏗️ Development

From Source

# Clone and setup
git clone https://github.com/evrimalacan/mcp-microsoft-graph.git
cd mcp-microsoft-graph
npm install

# Set up credentials
cp .env.example .env.local
# Edit .env.local with your CLIENT_ID and TENANT_ID

# Build
npm run build

# Authenticate
npm run auth

# Development mode
npm run dev

# Run tests
npm test

Adding New Tools

  1. Create a new tool file in the appropriate domain folder under src/tools/
  2. Export it from the domain's index.ts
  3. Register it in src/tools/index.ts

See the existing tools for examples and patterns.

🐛 Troubleshooting

Common Issues

"Authentication failed"

  • Run npm run auth to authenticate again
  • Verify your CLIENT_ID and TENANT_ID are correct
  • Check that your Azure AD app has the required permissions

"Access forbidden"

  • Ensure your Azure AD app has the necessary permissions granted
  • Check if admin consent is required and has been granted
  • Verify you're signed in with the correct account

"Token expired"

  • Run npm run auth to refresh your authentication
  • Check that the token file path is accessible

"Chat not found"

  • Verify the chat ID is correct
  • Ensure you have access to the chat
  • Check that the chat still exists

📚 Documentation

🤝 Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Add tests for your changes
  4. Commit your changes (git commit -m 'Add amazing feature')
  5. Push to the branch (git push origin feature/amazing-feature)
  6. Open a Pull Request

📄 License

MIT License - see LICENSE file for details.

🌟 Support


Built for seamless Microsoft Teams integration with AI assistants

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选