Official · MODEL CONTEXT PROTOCOL
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.
连接能力
mcp-teams-server 为 AI Agent 提供什么
来源目录未提供结构化功能列表，请在使用前阅读源仓库文档。
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前，请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.
MCP-Teams-Server-Showcase.mp4
- 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
- uv package manager
- Python 3.12
- Microsoft Teams account with proper set-up
- Clone the repository:
git clone https://github.com/InditexTech/mcp-teams-server
cd mcp-teams-server- Create a virtual environment and install dependencies:
uv venv
uv sync --frozen --all-extras --devPlease 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.
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_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-serverThe default MCP transport is stdio. You can also use streamable-http for HTTP deployments:
uv run mcp-teams-server --transport streamable-httpThe legacy sse transport is still available for older clients.
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 integrationThere 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
A docker image is available to run MCP server. You can build it with the following command:
docker build . -t inditextech/mcp-teams-serverBasic run configuration:
docker run -it inditextech/mcp-teams-serverRun with environment variables from .env file:
docker run --env-file .env -it inditextech/mcp-teams-serverRun with Streamable HTTP transport:
docker run --env-file .env -p 8000:8000 -it inditextech/mcp-teams-server --transport streamable-httpPlease follow instructions on the following document
See CHANGELOG.md for a list of changes and version history.
Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
For security concerns, please see our Security Policy.
This project is licensed under the Apache-2.0 file for details.
© 2025 INDUSTRIA DE DISEÑO TEXTIL S.A. (INDITEX S.A.)
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