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io.github.lanchuske/local-mcp MCP Server

io.github.lanchuske/local-mcp

Native macOS and Windows MCP server with 82 tools for Mail, Calendar, Teams, OneDrive and more.

What is the io.github.lanchuske/local-mcp MCP server?

LMCP is a native MCP server that connects compatible AI assistants to your apps and accounts on macOS and Windows. It provides tools to access email, calendars, messages, files, tasks and other integrations, letting your assistant gather context across apps and execute authorized actions.

LMCP bridges your AI assistant to native and cloud apps on your computer. It reads email, calendar events, messages, files and documents across services like Apple Mail, Outlook, Microsoft Teams, Slack, Google Drive and OneDrive, then executes supported actions—all with permissions you control. Use it with Claude, ChatGPT, Cursor and other MCP clients to reduce manual searching and copying between apps.

How to install io.github.lanchuske/local-mcp

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "local-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "local-mcp"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Apple Mail — Read and search email from Apple Mail
  • Outlook — Access Outlook email and calendar
  • Microsoft Teams — Read messages and information from Teams
  • Slack — Access Slack messages and channels
  • WhatsApp — Read WhatsApp messages on Mac
  • Signal — Access Signal messages
  • Google Drive — Browse and read files from Google Drive
  • OneDrive — Access OneDrive files and documents
  • Microsoft 365 — Work with Microsoft 365 apps and data
  • Apple Calendar — Read and manage calendar events
  • Apple Contacts — Access contact information
  • Apple Notes — Read and create notes
  • Apple Reminders — Create and manage reminders
  • Microsoft To Do — Access tasks and to-do lists
  • OmniFocus — Read task information from OmniFocus
  • Notion — Access Notion databases and pages
  • ServiceNow — Connect to ServiceNow instances

Use cases

  • Search across email, messages and files to find information scattered across multiple apps and accounts
  • Organize your day by combining calendar events, tasks and relevant messages into a realistic plan
  • Draft customer replies using accessible order and inventory information, then schedule dispatch
  • Create notes, reminders and calendar events from AI suggestions with one-click authorization
  • Automate routine information gathering across Microsoft 365, Google Workspace and native Mac apps

io.github.lanchuske/local-mcp MCP server FAQ

What is LMCP?

LMCP is an MCP server that runs on your Mac or Windows computer and connects AI assistants like Claude, ChatGPT and Cursor to your local apps and cloud accounts. It provides 82+ tools to read email, calendars, messages, files and other data, then execute authorized actions.

Is LMCP free?

LMCP is available for download on macOS 13+ and Windows 10+. Check the website (www.local-mcp.com) for current pricing and commercial terms.

How do I install LMCP in Cursor or Claude?

Download the LMCP installer for your OS from www.local-mcp.com/download, complete setup, then select your assistant and enable integrations. For Cursor, use the plugin from this repository. For Claude Desktop, use the one-click .mcpb installer at www.local-mcp.com/install/mcpb. Web assistants (Claude.ai, ChatGPT) connect via OAuth at www.local-mcp.com/mcp with Cloud Data Forwarding enabled.

What permissions does LMCP need?

LMCP requests permissions for each app and service you enable—Apple Mail, Outlook, Teams, Google Drive, OneDrive and others. You control which integrations are active and can revoke access at any time. Some tools require sign-in to cloud services.

Does LMCP work offline?

Local read operations may work offline if data is cached or synced. Cloud models, connected services and remote updates require a network connection. Cloud Data Forwarding (optional, off by default) lets web assistants reach tools on your computer.

Which platforms are supported?

LMCP runs on macOS 13+ and Windows 10+ (64-bit). Linux, iOS and Android are not yet supported; join the waitlist on the download page.

README (reference)

Source of truth, from the repository.

LMCP — Context and Actions for Your AI

npm macOS Windows

Give your AI the context to get things done. LMCP connects compatible assistants to your apps and accounts through the Model Context Protocol (MCP). Bring together relevant information from email, messages, calendars and files, then use tools to turn that context into useful action — with less searching and copying between apps.

Use it with Claude, ChatGPT, Codex, Cursor and other compatible MCP clients. Available integrations and connection methods vary by assistant, platform and permissions.

Download for Mac or Windows → · Explore the product · Setup guides

This repository contains release information, documentation and the npm wrapper. The core binary is proprietary; documentation and scripts have their own license — see LICENSE.

More than one app's view of your information

An email, a message and a document may each contain only part of the answer. With compatible tools and access you authorize, your assistant can find those pieces across apps and accounts and use them together.

What you askHow connected context helps
“Tell me everything I still owe the architect — I can't remember her name.”Search relevant messages, email and files to identify the person and assemble outstanding requests with their sources.
“Help organize my day so I can meet my commitments.”Combine calendar events, tasks and relevant messages to propose a realistic plan and make supported updates when authorized.
“Prepare replies to customer orders using the inventory and plan dispatch.”Read accessible order and inventory information, draft replies and use supported scheduling tools. Review proposed actions before authorizing execution.

These illustrate workflows an assistant can build from available tools, not guaranteed autonomous outcomes. Sources must be accessible; assistant capabilities and each tool's permissions still apply.

Apps and tools

Explore email, calendars, contacts, messages, tasks, files, documents, browser automation and other integrations. Examples include Apple Mail, Outlook, Microsoft Teams, Slack, WhatsApp, Signal, Google Drive, OneDrive, Microsoft 365, Notes, Reminders, Microsoft To Do, OmniFocus, Notion and ServiceNow.

Not every integration is available on both operating systems. Apple-native tools require macOS; connected services may need their own sign-in or permissions. Some tools use locally cached or synced data rather than a complete cloud account.

For current tools, requirements and platform coverage, use the tool reference and guides rather than a fixed count in this README.

See it work

<p align="center"> <img src="assets/claude-web-demo.gif" alt="Claude.ai using LMCP tools on a Mac to create a note and a reminder, including a consent dialog" width="700"> </p>

The recording shows a Mac workflow through Cloud Data Forwarding, not every platform or integration.

Watch the 1-minute overview — what MCP is, how LMCP works, and a real run from email to Excel, Word and a reminder:

<p align="center"> <a href="https://youtu.be/_Ssrmlm0VyA"><img src="https://img.youtube.com/vi/_Ssrmlm0VyA/maxresdefault.jpg" alt="LMCP overview video: the MCP server that connects Claude, ChatGPT and Cursor to your Mac and Windows apps" width="700"></a> </p>

Ver en español

Install and connect

  1. Download LMCP for your operating system. Follow the installer and onboarding steps.
  2. Select your assistant and enable the compatible integrations you want to use.
  3. Grant required permissions or sign in where needed, then follow the assistant-specific setup guide.

Cursor plugin

This repository is also a Cursor plugin. It adds the local-mcp MCP server, a rule that tells Cursor's agent when to use LMCP, and skills for email, calendar, messages, files and Office.

LMCP must be installed first (step 1 above): the plugin starts the LMCP server on your computer and does not work without it.

Supports macOS 13+ and Windows 10+ (64-bit). Linux, iOS and Android are not supported yet; join the waitlist on the download page.

Choose one installation path:

  • Signed installer for Mac (.pkg) or Windows: download page.
  • macOS terminal: curl -fsSL 'https://www.local-mcp.com/install?ref=github-releases' | bash
  • Windows PowerShell: irm https://www.local-mcp.com/install-windows?ref=github-releases | iex (per-user, no administrator rights or Node.js needed).
  • Claude Desktop extension: one-click .mcpb at www.local-mcp.com/install/mcpb.
  • npm (requires Node.js): npx -y local-mcp@latest setup configures the compatible clients it detects.

Details for agents and each path: llms-install.md. After installing, fully restart your AI client; MCP tools load at startup.

Local desktop/CLI clients and web assistants connect differently. The installer configures the compatible local clients it detects. Web assistants (ChatGPT, Claude.ai, Grok, Perplexity) connect through https://www.local-mcp.com/mcp as a custom connector with OAuth. They need the local app installed and Cloud Data Forwarding enabled in LMCP (off by default); with forwarding off, the connector exposes only setup_install. Follow the web AI guide and the current guides.

An endpoint alone is not a verified connection: complete authorization and check that tools are available in your client.

How it works

Your assistant → MCP → available tools → relevant apps and accounts → context and actions.

Compatible tools execute on your computer. Some read native data, local caches or synced files; others connect to services requiring authentication and a network connection. Your assistant chooses tools for your request within the access you grant — it does not automatically gain access to every account.

Local tools, clear data boundaries

  • Local execution does not mean a cloud AI receives no data. Your chosen assistant or connected service may receive content needed for your request, including when a desktop client uses a cloud model.
  • Cloud Data Forwarding is optional, off by default, and lets supported web assistants reach tools on your computer. Review its data flow and provider policies before enabling it.
  • Permissions, preview and confirmation support vary by tool. Review behavior and authorize actions before execution; do not assume a universal confirmation dialog.
  • Locally available read operations may work offline. Cloud models, connected services, sending and remote updates can require a network connection.

See Privacy and Security. Compliance depends on your complete workflow and provider agreements, not only on where a tool runs.

Learn more

Releases and support

See GitHub Releases for this repository's history and the download page for current installers. Mac and Windows can have different release versions; a GitHub tag alone is not a fleet-wide deployment signal.

  • Report a problem through LMCP's available feedback tools or open an issue. Include OS and app version, and remove sensitive content from logs.
  • Request a feature through the available feedback tools or GitHub Issues.
  • Contact ctpo@colibird.co for support; see SECURITY.md for vulnerabilities.
  • For current availability and commercial terms, see the website and LICENSE. This README does not promise permanent pricing or future features.

If LMCP helps you, star the repository to help others discover it.

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