MCP Teams Server: Integrating Microsoft Teams Communication Programmatically
The MCP Teams Server provides seamless integration with Microsoft Teams, empowering developers to programmatically manage communication functionalities such as thread creation, member listing, and message tracking via the Model Context Protocol (MCP).
Server Details
Compatibility
What's Inside
Navigate through comprehensive documentation and guides
Overview
Quick Start
Features
Installation
Configuration
Usage Examples
Tools & Commands
Troubleshooting
FAQ
Community & Support
Get Started in 3 Steps
Get up and running in just 5 minutes
Install Prerequisites
Install Node.js and Ollama on your system
npm install -g ollamaSetup MCP Server
Clone repository and install dependencies
git clone https://github.com/InditexTech/mcp-teams-server && npm installConnect to Claude
Add server to Claude Desktop configuration
Edit claude_desktop_config.jsonPowerful Features
Discover what makes this MCP server exceptional and how it can transform your workflow
Create and manage threads programmatically within Microsoft Teams channels.
Reply to existing threads with user-specific mentions for targeted notifications.
Retrieve historical thread replies for compliance or instructional review.
List all members of a given Teams channel for team organization.
Read existing messages within a channel for analytics or monitoring.
Technical Capabilities
UV Package Manager: A Python package manager utilized for virtual environment setup and dependency syncing, enabling streamlined server configuration.
About This Server
The MCP Teams Server is a Python-based API solution designed for programmatic interaction with Microsoft Teams. It enables developers to automate and manage threads, messages, and members within Teams channels, leveraging the Model Context Protocol (MCP). With its Docker compatibility and comprehensive Team/Azure setup documentation, the server facilitates quick deployment and integration into workflows. Key benefits include seamless thread management for real-time collaboration, retrieval of historical messages for analysis, and automatic member tracking for effective communication and team organization.
Tools & Capabilities
Explore the powerful tools this server provides
Available Tools
UV Package Manager
A Python package manager utilized for virtual environment setup and dependency syncing, enabling streamlined server configuration.
Pytest Testing Framework
A testing framework used for integration testing, ensuring reliable server functionality before deployment.
Docker
A containerization platform that encapsulates MCP Teams Server into pre-built or custom-built Docker images for efficient deployment.
Microsoft Teams Setup Documentation
Detailed documentation guiding users through configuring Microsoft Teams and Azure resources needed to run MCP Teams Server.
Environment Variables Configuration
Configurable environment variables such as `TEAMS_APP_ID`, `TEAMS_APP_PASSWORD`, `TEAMS_APP_TYPE`, which are essential for MCP Teams Server operation.
Installation & Setup
Complete guide to get this MCP server running in your environment
Before You Start
There are two ways to add an MCP server to Cursor and Claude Desktop App:
- Globally: Available in all of your projects by adding it to the global MCP settings file.
- Per Project: Available only within a specific project by adding it to the project's MCP settings file.
Cursor IDE
Adding an MCP Server to Cursor Globally
- Go to **Cursor Settings > MCP** and click **Add new global MCP server**.
- This will open the `~/.cursor/mcp.json` file.
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}Claude Desktop
Adding an MCP Server to Claude Desktop App Globally
- Go to **Claude Settings > MCP Servers** and click **Add Global MCP Server**.
- This will open the `~/.claude/mcp.json` file (or you can navigate there manually).
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}Step-by-Step Setup
Detailed instructions to get everything running
Clone the repository: git clone https://github.com/InditexTech/mcp-teams-server && cd mcp-teams-server.
Create a virtual environment and sync dependencies using uv venv && uv sync --frozen --all-extras --dev.
Follow the Teams setup guide (./doc/MS-Teams-setup.md) for Azure/MS Teams configuration.
Set necessary environment variables like TEAMS_APP_ID and TEAMS_APP_PASSWORD.
Run the server: uv run mcp-teams-server.
Alternatively, execute via Docker: docker pull ghcr.io/inditextech/mcp-teams-server:latest && docker run -it inditextech/mcp-teams-server.
Use Cases
Real-world applications and scenarios where this server excels
Automating project updates in Teams channels using thread management features.
Improving collaboration by enabling context-based messaging via MCP protocol.
Analyzing historical conversations in Teams channels for audit purposes.
Monitoring team activity and channel discussions using member-listing functions.
Success Stories
See how others have successfully implemented this MCP server
Real-world Application: Automating Project Updates In Teams Channels Using Thread Management Features.
Scenario
An organization implemented MCP Teams Server: Integrating Microsoft Teams Communication Programmatically to address their specific need for automating project updates in teams channels using thread management features.
Implementation
They configured the MCP server with specialized AI models tailored to their automating project updates in teams channels using thread management features. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in automating project updates in teams channels using thread management features. efficiency and quality through multi-perspective AI analysis
Team Collaboration Improvement
Scenario
An organization implemented MCP Teams Server: Integrating Microsoft Teams Communication Programmatically to address their specific need for improving collaboration by enabling context-based messaging via mcp protocol.
Implementation
They configured the MCP server with specialized AI models tailored to their improving collaboration by enabling context-based messaging via mcp protocol. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in improving collaboration by enabling context-based messaging via mcp protocol. efficiency and quality through multi-perspective AI analysis
Real-world Application: Analyzing Historical Conversations In Teams Channels For Audit Purposes.
Scenario
An organization implemented MCP Teams Server: Integrating Microsoft Teams Communication Programmatically to address their specific need for analyzing historical conversations in teams channels for audit purposes.
Implementation
They configured the MCP server with specialized AI models tailored to their analyzing historical conversations in teams channels for audit purposes. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in analyzing historical conversations in teams channels for audit purposes. efficiency and quality through multi-perspective AI analysis
Frequently Asked Questions
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Common Questions
Everything you need to know to get started
Related Topics & Technologies
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Technologies
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