Microsoft Teams MCP logo

Microsoft Teams MCP

Organization
InditexTech

An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.

PublisherInditexTech
Repositorymcp-teams-server
LanguagePython
Forks
38
Stars
399
Available tools
0
Transport typestdio
Categories
Communication
LicenseApache-2.0
Links
GitHub
  • Connect tools to AI workflows

    Microsoft Teams MCP exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    399 stars and 38 forks from the linked repository.

Bugs Maintainability Rating Reliability Rating GitHub License GitHub Release Scorecard

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

Installation

  1. Clone the repository:
bash
git clone https://github.com/InditexTech/mcp-teams-server
cd mcp-teams-server
  1. Create a virtual environment and install dependencies:
bash
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:

KeyDescription
TEAMS_APP_IDUUID for your MS Entra ID application ID
TEAMS_APP_PASSWORDClient secret
TEAMS_APP_TENANT_IDTenant uuid in case of SingleTenant
TEAM_IDMS Teams Group Id or Team Id
TEAMS_CHANNEL_IDMS Teams Channel ID with url escaped chars

Start the server:

bash
uv run mcp-teams-server

The default MCP transport is stdio. You can also use streamable-http for HTTP deployments:

bash
uv run mcp-teams-server --transport streamable-http

The legacy sse transport is still available for older clients.

Development

Integration tests require the set-up the following environment variables:

KeyDescription
TEST_THREAD_IDtimestamp of the thread id
TEST_MESSAGE_IDtimestamp of the message id
TEST_USER_NAMEtest user name
bash
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

commandline
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:

bash
docker build . -t inditextech/mcp-teams-server

Run docker image

Basic run configuration:

bash
docker run -it inditextech/mcp-teams-server

Run with environment variables from .env file:

bash
docker run --env-file .env -it inditextech/mcp-teams-server

Run with Streamable HTTP transport:

bash
docker run --env-file .env -p 8000:8000 -it inditextech/mcp-teams-server --transport streamable-http

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.)

Use Microsoft Teams MCP MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Microsoft Teams MCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Microsoft Teams MCP as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Microsoft Teams MCP MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "mcp-teams-server": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Microsoft Teams MCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Microsoft Teams MCP MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Microsoft Teams MCP to help me with this task?
Microsoft Teams MCP
Sure. I read it.
Here is what I found using Microsoft Teams MCP.

Frequently asked questions

What is the Microsoft Teams MCP MCP server used for?

Microsoft Teams MCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Microsoft Teams MCP MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Microsoft Teams MCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Microsoft Teams MCP MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Microsoft Teams MCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Microsoft Teams MCP MCP to TypingMind?

Microsoft Teams MCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Microsoft Teams MCP MCP provide in TypingMind?

Microsoft Teams MCP exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Microsoft Teams MCP MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Microsoft Teams MCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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