teams-mcp
Enables AI assistants to read, search, and act on Teams conversations and organizational data directly, reducing manual context-gathering and enabling workfl…
MCP server providing comprehensive Microsoft Teams and Graph API access for AI assistants including messaging, search, and user management.
- Ask Claude to search Teams messages for specific keywords across multiple channels and summarize findings
- Generate a report of user activity and group memberships from your Teams organization directory
- Automate sending notifications to Teams channels when external systems trigger alerts or status changes
Enables AI assistants to read, search, and act on Teams conversations and organizational data directly, reducing manual context-gathering and enabling workflow automation across Teams without custom integrations.
Engineering teams using Teams heavily who need AI-driven incident response, knowledge retrieval, or automated status updates without leaving their communication platform.
https://github.com/floriscornel/teams-mcp
By floriscornel
How to Get It
claude mcp add teams-mcp -- npx -y teams-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Search Teams messages for specific keywords across multiple channels and summarize findings
Trust Signals Auto-scanned
Data & Access
Community Pulse Growing
Discussed on Hacker News
- Rails Rumble 2009 Teams Map — Hacker News · 2 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 139 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 139 GitHub stars; contributors unknown; last commit 0d ago; license MIT.