Teams MCP
Related Servers
Alternatives to Teams MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server enabling AI assistants to interact with Microsoft Teams, users, chats, and organizational data via Microsoft Graph APIs.2,734 npmMIT
- AlicenseCqualityAmaintenanceA Model Context Protocol server that enables interaction with Microsoft 365 services (Excel, Calendar, Mail, OneDrive, Teams, etc.) through the Graph API, allowing AI assistants to manage Microsoft 365 resources via natural language.18849,317 npm996MIT
- AlicenseAqualityBmaintenanceAn MCP server that provides comprehensive Microsoft Teams and Graph API access, enabling AI assistants to manage multi-tenant messaging, search, file operations, and user management.33MIT
- AlicenseNot gradedqualityDmaintenanceModel Context Protocol servers for Microsoft 365, enabling AI assistants to interact with Calendar, Contacts, OneDrive, Outlook, and SharePoint via the Microsoft Graph API.MIT
- AlicenseNot gradedqualityDmaintenanceA comprehensive server that enables AI applications to interact with Microsoft 365 and Azure AD services through standardized Model Context Protocol interfaces.3MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for Microsoft Teams that lets AI assistants search, message, and manage chats, meetings, files, and contacts using your existing Teams browser login—no app approval or Azure AD registration needed.548 npmMIT
TDQS
Scored across 19 tools
Most tools have distinct purposes targeting specific resources like channels, chats, users, or messages, but there is some overlap: get_recent_messages and search_messages both retrieve messages with filtering, which could cause confusion. However, descriptions clarify that get_recent_messages focuses on recent messages with time/scope filters, while search_messages uses advanced KQL syntax, helping to differentiate them.
Tool names follow a highly consistent verb_noun pattern throughout, such as list_teams, get_channel_messages, send_chat_message, and search_users. All tools use snake_case with clear verbs like get, list, create, send, reply, and search, making the set predictable and easy to understand.
With 19 tools, the count is slightly high but reasonable for a comprehensive Teams integration covering authentication, chats, channels, messages, users, and search. It provides broad functionality without being overwhelming, though it could be streamlined by merging some overlapping tools like get_recent_messages and search_messages.
The toolset offers complete coverage for Microsoft Teams interactions, including CRUD operations for messages (send, reply, get), resource listing (teams, channels, chats, members), user management (get, search), and authentication. There are no obvious gaps; agents can perform core workflows like messaging, searching, and team management effectively.