mcp-teams-server vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-teams-server by InditexTech	memory by modelcontextprotocol
Stars	★ 373	★ 85,748
30d uses	—	—
Score	50	77
Official	—	✓
Categories	CommunicationProductivityDeveloper Tools	Knowledge GraphAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

mcp-teams-server · Summary

MCP server for Microsoft Teams integration with message handling, member mentions, and thread management.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

mcp-teams-server · Use cases

Automating team communications through AI assistants with Microsoft Teams integration
Creating AI workflows that monitor and respond to Teams messages in real-time
Building custom productivity tools that interact with Microsoft Teams data

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

mcp-teams-server · Install

Installation

Prerequisites

Python 3.10
uv package manager
Microsoft Teams account with Azure setup

Installation Steps

Clone the repository:

git clone [repository-url]
cd mcp-teams-server

Create virtual environment and install dependencies:

uv venv
uv sync --frozen --all-extras --dev

Set up environment variables using [sample.env](sample.env) as template:

export TEAMS_APP_ID="your-app-id"
export TEAMS_APP_PASSWORD="your-password"
export TEAMS_APP_TYPE="SingleTenant" # or "MultiTenant"
export TEAMS_APP_TENANT_ID="your-tenant-id"
export TEAM_ID="your-team-id"
export TEAMS_CHANNEL_ID="your-channel-id"

Start the server:

uv run mcp-teams-server

Claude Desktop Configuration

Add to Claude Desktop config.json:

{
  "mcpServers": {
    "teams": {
      "command": "uv",
      "args": ["run", "mcp-teams-server"],
      "env": {
        "TEAMS_APP_ID": "your-app-id",
        "TEAMS_APP_PASSWORD": "your-password",
        "TEAMS_APP_TYPE": "SingleTenant",
        "TEAMS_APP_TENANT_ID": "your-tenant-id",
        "TEAM_ID": "your-team-id",
        "TEAMS_CHANNEL_ID": "your-channel-id"
      }
    }
  }
}

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.