lanchuske/local-mcp
by Various
LMCP — Give your AI native access to your apps. 189 tools across macOS and Windows. Mail, Calendar, Teams, OneDrive, Outlook, Google Drive and more. 100% local.
MCP
lanchuske/local-mcp
Added 1 June 2026
Overview
lanchuske/local-mcp is an open-source Model Context Protocol server written in JavaScript that exposes 189 native tools for macOS and Windows. It allows AI agents to directly interact with applications and services such as Mail, Calendar, Teams, OneDrive, Outlook, and Google Drive, all operating 100% locally.
Best for
Best for
Developers building local AI agents that need to control desktop apps and cloud services
Use cases
- Automate email triage and drafting via local AI
- Schedule and retrieve calendar events programmatically
- Read and upload files from cloud storage or local drives
How to use
Install
curl -fsSL 'https://local-mcp.com/install?ref=github-releases' | bash Tools exposed
JXAEventKitAppleScriptLevelDBnative macOS APIs
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Zed, ChatGPT, Claude.ai
Notes
lanchuske/local-mcp is an open-source Model Context Protocol server written in JavaScript that exposes 189 native tools for macOS and Windows. It allows AI agents to directly interact with applications and services such as Mail, Calendar, Teams, OneDrive, Outlook, and Google Drive, all operating 100% locally.
14 stars on GitHub. Last updated 2026-06-01.
Use cases
- Automate email triage and drafting via local AI
- Schedule and retrieve calendar events programmatically
- Read and upload files from cloud storage or local drives
Pros
- 100% local execution preserves privacy and offline capability
- Covers a wide range of popular productivity tools and services
- Supports both macOS and Windows platforms
Cons
- Small community (14 stars) suggests limited support and testing
- May require manual setup and configuration for each tool
- Documentation and stability may be sparse due to early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- 100% local execution preserves privacy and offline capability
- Covers a wide range of popular productivity tools and services
- Supports both macOS and Windows platforms
Cons
- Small community (14 stars) suggests limited support and testing
- May require manual setup and configuration for each tool
- Documentation and stability may be sparse due to early stage
Pairs with
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