Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.
| Date | Stars |
|---|---|
| 2026-07-31 | 387 |
| 2026-08-01 | 387 |
| 2026-08-11 | 390 |
| 2026-08-18 | 392 |
| 2026-08-20 | 392 |
| 2026-08-24 | 394 |
| 2026-08-25 | 394 |
| 2026-09-03 | 395 |
| 2026-09-05 | 396 |
| 2026-09-07 | 397 |
| 2026-09-16 | 398 |
| 2026-09-19 | 399 |
| 2026-09-20 | 399 |
Today
— stars today
This week
+2 stars this week
This month
+7 stars this month
Momentum
37.0
growth rate 0.50%/day
[](https://sonarcloud.io/summary/new_code?id=InditexTech_mcp-teams-server) [](https://sonarcloud.io/summary/new_code?id=InditexTech_mcp-teams-server) [](https://sonarcloud.io/summary/new_code?id=InditexTech_mcp-teams-server)   [](https://scorecard.dev/viewer/?uri=github.com/InditexTech/mcp-teams-server) <!-- [](https://www.bestpractices.dev/projects/10400) --> # MCP Teams Server An MCP ([Model Context Protocol](https://modelcontextprotocol.io/introduction)) server implementation for [Microsoft Teams](https://www.microsoft.com/en-us/microsoft-teams/group-chat-software/) 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](https://github.com/astral-sh/uv) package manager - [Python 3.12](https://www.python.org/) - Microsoft Teams account with [proper set-up](./doc/MS-Teams-setup.md) ## Installation 1. Clone the repository: ```bash git clone https://github.com/InditexTech/mcp-teams-server cd mcp-teams-server ``` 2. Create a virtual environment and install dependencies: ```bash uv venv uv sync --frozen --all-extras --dev ``` ## Teams configuration Please read [this document](./doc/MS-Teams-setup.md) 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](./sample.env) 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: ```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: | Key | Description | |------------------------|--------------------------------| | **TEST_THREAD_ID** | timestamp of the thread id | | **TEST_MESSAGE_ID** | timestamp of the message id | | **TEST_USER_NAME** | test user name | ```bash uv run pytest -m integration ``` ### Pre-built docker image There is a [pre-built image](https://github.com/InditexTech/mcp-teams-server/pkgs/container/mcp-teams-server) hosted in ghcr.io. You can install this image by running the following command ```commandline docker pull ghcr.io/inditext
Excerpt of 5,168 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:61cd6a12da33933e, topic:mcp, topic:mcp-server, desc:model context protocol