local-mcp-releases
Eliminates workflow friction by giving AI assistants direct access to enterprise communication and productivity apps without API setup or cloud dependencies—…
143 local tools that give Claude, Cursor & ChatGPT native access to your Mac apps — Mail, iMessage, Teams, Slack, WhatsApp, OneDrive, Outlook, Office. 100% local, no cloud, no API keys.
- Ask Claude to draft an email in Mail and send it directly without leaving your chat
- Generate a Slack message summarizing today's standup and post it to your channel automatically
- Find unread messages across Teams, iMessage, and Slack from the past hour in one place
Eliminates workflow friction by giving AI assistants direct access to enterprise communication and productivity apps without API setup or cloud dependencies—reducing context-switching overhead for knowledge workers.
Remote teams and consultants using Claude/Cursor who need seamless integration between AI tools and native Mac applications for faster information retrieval and task automation.
https://github.com/lanchuske/local-mcp-releases
By lanchuske
How to Get It
claude mcp add local-mcp-releases -- npx -y local-mcp-releases
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:
Draft an email in Mail and send it directly without leaving my chat
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 32 GitHub stars; 4 contributors; last commit 0d ago; license no license.
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): 32 GitHub stars; 4 contributors; last commit 0d ago; license no license.