Microsoft Teams MCP
Interact with Microsoft Teams to read, create, and reply to messages, and mention members.
MCP Teams Server
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.
Features
https://github.com/user-attachments/assets/548a9768-1119-4a2d-bd5c-6b41069fc522
- Start thread in channel with title and contents, mentioning users
- Update existing threads with message replies, mentioning users
- Read thread replies
- List channel team members
- Read channel messages
Prerequisites
- uv package manager
- Python 3.10
- Microsoft Teams account with proper set-up
Installation
- Clone the repository:
git clone [repository-url]
cd mcp-teams-server
- Create a virtual environment and install dependencies:
uv venv
uv sync --frozen --all-extras --dev
Teams configuration
Please read this document to help you to configure Microsoft Teams and required Azure resources. It is not a step-by-step guide but can help you figure out what you will need.
Usage
Set up the following environment variables in your shell or in an .env file. You can use sample file as a template:
| Key | Description |
|---|---|
| TEAMS_APP_ID | UUID for your MS Entra ID application ID |
| TEAMS_APP_PASSWORD | Client secret |
| TEAMS_APP_TYPE | SingleTenant or MultiTenant |
| TEAMS_APP_TENANT_ID | Tenant uuid in case of SingleTenant |
| TEAM_ID | MS Teams Group Id or Team Id |
| TEAMS_CHANNEL_ID | MS Teams Channel ID with url escaped chars |
Start the server:
uv run mcp-teams-server
Development
Integration tests require the set-up the following environment variables:
| Key | Description |
|---|---|
| TEST_THREAD_ID | timestamp of the thread id |
| TEST_MESSAGE_ID | timestamp of the message id |
| TEST_USER_NAME | test user name |
uv run pytest -m integration
Pre-built docker image
There is a pre-built image hosted in ghcr.io. You can install this image by running the following command
docker pull ghcr.io/inditextech/mcp-teams-server:latest
Build docker image
A docker image is available to run MCP server. You can build it with the following command:
docker build . -t inditextech/mcp-teams-server
Run docker image
Basic run configuration:
docker run -it inditextech/mcp-teams-server
Run with environment variables from .env file:
docker run --env-file .env -it inditextech/mcp-teams-server
Setup LLM to use MCP Teams Server
Please follow instructions on the following document
Changelog
See CHANGELOG.md for a list of changes and version history.
Contributing
Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
Security
For security concerns, please see our Security Policy.
License
This project is licensed under the Apache-2.0 file for details.
© 2025 INDUSTRIA DE DISEÑO TEXTIL S.A. (INDITEX S.A.)
İlgili Sunucular
glin-profanity-mcp
Content moderation and profanity detection MCP server with 19 tools, 24 language support, leetspeak/Unicode obfuscation detection, context-aware analysis, batch processing, and user tracking for AI-powered content safety.
MCP Evolution API
An MCP server for Claude that integrates with the Evolution API for WhatsApp automation.
VoiceVox
A server for text-to-speech (TTS) using the VoiceVox engine.
Freshdesk MCP Server
An MCP server for interacting with the Freshdesk API v2, enabling management of customer support tickets and contacts.
BGG MCP
BGG MCP enables AI tools to interact with the BoardGameGeek API.
Vapi MCP Server
A server for integrating with Vapi's voice AI APIs using function calls.
MCP IDE Bridge
An open-source messaging server for client-to-client communication using MCP HTTP streaming, configurable via an external JSON file.
X (Twitter)
Enhanced MCP server for Twitter/X with OAuth 2.0 support, v2 API media uploads, smart v1.1 fallbacks, and comprehensive rate limiting. Post tweets with text/media, search, and delete tweets programmatically.
BlueSky
Access the BlueSky social network data via its official API.
Unipile
Access and manage messages from multiple platforms using the Unipile API.