teams-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
teams-mcp by floriscornel | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 99 | ★ 85,748 |
| 30d uses | — | — |
| Score | 49 | 77 |
| Official | — | ✓ |
| Categories | CommunicationDeveloper ToolsProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
teams-mcp · Summary
MCP server for Microsoft Teams and Graph API access with comprehensive messaging, search, and user management capabilities.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
teams-mcp · Use cases
- Automating Microsoft Teams communications and workflows for business processes
- Building AI assistants that can search and retrieve information from Teams conversations and channels
- Integrating organizational chat data into larger AI systems for analysis and response
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
teams-mcp · Install
Installation
To use this MCP server in Cursor/Claude/VS Code, add the following configuration:
{
"mcpServers": {
"teams-mcp": {
"command": "npx",
"args": ["-y", "@floriscornel/teams-mcp@latest"]
}
}
}npm installation
npm install @floriscornel/teams-mcpAuthentication
npx @floriscornel/teams-mcp@latest authenticate # Full access
npx @floriscornel/teams-mcp@latest authenticate --read-only # Read-only accessmemory · 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"]
}
}
}