# Microsoft Teams

> Use this tool when you need to integrate AI assistants with Microsoft Teams to monitor and interact with team communications, post updates, or participate in discussions. It solves problems of context switching and enables collaborative workflows by allowing AI assistants to read messages, create threads, and reply to messages in Teams channels. It takes Azure bot credentials as input and provides a standardized protocol for interaction, making it ideal for use cases where AI-driven communication and collaboration are crucial.

Canonical page: https://skillsregistry.net/skills/inditextech-teams  
JSON: https://api.skillsregistry.net/v1/skills/inditextech-teams

## Description

MCP Teams Server provides integration with Microsoft Teams, enabling AI assistants to interact with Teams channels through a standardized protocol. Developed by InditexTech, this Python implementation allows reading messages, creating threads, replying to messages, and mentioning team members. The server connects to Teams using Azure bot credentials and exposes functionality through a Docker container or local installation. It's particularly valuable for collaborative workflows where AI assistants need to monitor team communications, post updates to channels, or participate in threaded discussions without requiring users to switch contexts.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/inditextech-teams)
- **Repository:** <https://github.com/inditextech/mcp-teams-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "inditextech-teams"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inditextech-teams` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inditextech-teams/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt