teams-mcp
Related Servers
Alternatives to teams-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables agents to read Microsoft Teams data and, with elevated modes, post messages, reply in threads, and send chats via Microsoft Graph, with safe-by-default permission gates.9MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with Microsoft Teams, users, and organizational data via Microsoft Graph APIs, including sending messages, managing chats and channels, and searching messages.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to manage Microsoft Teams through the Graph API, including sending messages, managing chats, creating teams, and searching communications.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to read conversations, send messages, and manage members in Microsoft Teams via the Teams Chat Service REST API.380 npm8MIT
- AlicenseNot gradedqualityBmaintenanceEnables interaction with Microsoft 365 and Office services through the Microsoft Graph API, including email, calendar, files, Teams, SharePoint, and more.40,680 npmMIT
- AlicenseAqualityDmaintenanceEnables AI agents to interact with Microsoft Teams through Microsoft Graph API, using delegated device-code authentication to act on behalf of the user.1615 npmMIT
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose: user info, listing different entities (chats, teams, channels), and sending/retrieving messages for chat vs. channel. The send_via_power_automate tool is uniquely positioned as an alternative delivery mechanism, so no two tools are easily confused.
All tool names follow a consistent verb_noun pattern using snake_case (get_, list_, send_), making the set predictable and easy to navigate. The one outlier, send_via_power_automate, still adheres to the same verb-first structure.
With 9 tools, the server is well-scoped for a Teams messaging-focused MCP. It provides a solid set of read and send operations without being overbuilt or feeling sparse, fitting comfortably within the ideal 3-15 range.
The tool surface covers the core lifecycle for messaging: listing entities, reading messages, and sending to both chats and channels. Gaps like updating/deleting messages or creating teams/channels exist, but these are reasonable omissions for a communication-focused server and do not block primary workflows.