LMCP

Name: LMCP
Author: colibird-ai

by colibird-aiversion 3.0.439i★ –iComputer or cloud

Registry namecom.local-mcp/local-mcp

Install

Overview

Description from the maker (original English)

Mac & Windows: let ChatGPT, Claude & Cursor use your email, calendar, iMessage, Teams, files.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Chat & email

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: LMCP_REF

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://local-mcp.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "local": {
      "command": "npx",
      "args": [
        "-y",
        "local-mcp"
      ],
      "env": {
        "LMCP_REF": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http local https://local-mcp.com/mcp

Or run it on your computer

claude mcp add local --env LMCP_REF=your-value -- npx -y local-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "local": {
      "url": "https://local-mcp.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "local": {
      "command": "npx",
      "args": [
        "-y",
        "local-mcp"
      ],
      "env": {
        "LMCP_REF": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "local": {
      "type": "http",
      "url": "https://local-mcp.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "local": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "local-mcp"
      ],
      "env": {
        "LMCP_REF": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://local-mcp.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

LMCP_REF env
Install-source attribution tag (fixed).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain local-mcp.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 243 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Chat & emaili

More stars than 0% of the other 1767 servers in this category
Published to the registry more recently than 93% of the other 1767 servers in this category
Basic checks equal to or better than 100% of the other 1767 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is LMCP safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.0.439) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Vexa

by Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago

Install

emailmd

by anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

Computer or cloud★ 1,385MITUpdated 31 days ago

Install

MCP WhatsApp Cloud

by codespar

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

Runs on your computer★ 277MITUpdated 5 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

LMCP — Context and Actions for Your AI

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 →](https://www.local-mcp.com/download?ref=github-releases) · [Explore the product](https://www.local-mcp.com/en#explore) · [Setup guides](https://www.local-mcp.com/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 ask	How 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](https://www.local-mcp.com/tools) and [guides](https://www.local-mcp.com/guides) rather than a fixed count in this README.

See it work

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:

Ver en español

Install and connect

[Download LMCP for your operating system](https://www.local-mcp.com/download?ref=github-releases). Follow the installer and onboarding steps.
Select your assistant and enable the compatible integrations you want to use.
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).

Choose one installation path:

Signed installer for Mac (.pkg) or Windows: [download page](https://www.local-mcp.com/download?ref=github-releases).
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](https://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](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](https://www.local-mcp.com/guides/web-ai) and the [current guides](https://www.local-mcp.com/guides).

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

Install LMCP in your AI tool

Install the LMCP app first (see above); it runs the tools on your computer. Then add LMCP to your assistant. After any of these, fully restart the tool: MCP tools load at startup.

Tool	Copy-paste
Claude Code	`claude plugin marketplace add colibird-ai/local-mcp-claude-plugin && claude plugin install local-mcp@local-mcp` (inside Claude Code: `/plugin marketplace add colibird-ai/local-mcp-claude-plugin` then `/plugin install local-mcp@local-mcp`)
Codex CLI	`codex plugin marketplace add colibird-ai/local-mcp-releases && codex plugin add local-mcp@local-mcp` (or, MCP server only: `codex mcp add local-mcp -- npx -y local-mcp@latest`)
GitHub Copilot CLI	`copilot plugin marketplace add colibird-ai/local-mcp-claude-plugin && copilot plugin install local-mcp@local-mcp`
VS Code (Copilot Chat)	`code --add-mcp '{"name":"local-mcp","command":"npx","args":["-y","local-mcp@latest"]}'`
Gemini CLI	`gemini extensions install https://github.com/colibird-ai/local-mcp-releases`
Cursor	`npx -y local-mcp@latest setup` (or install the Cursor plugin from this repository)
Windsurf, Zed, Claude Desktop	`npx -y local-mcp@latest setup` configures the clients it detects
LM Studio (0.3.17 and later)
Cline, Continue, Goose, OpenCode and other MCP clients	Add this server to the client's MCP settings: `npx -y local-mcp@latest` (command `npx`, arguments `-y local-mcp@latest`)

Examples for clients that use their own config format:

# Goose

goose session --with-extension "npx -y local-mcp@latest"

// OpenCode: opencode.json

{ "mcp": { "local-mcp": { "type": "local", "command": ["npx", "-y", "local-mcp@latest"] } } }

// Zed: settings.json

{ "context_servers": { "local-mcp": { "command": "npx", "args": ["-y", "local-mcp@latest"] } } }

// Cline (cline_mcp_settings.json), LM Studio (mcp.json), Claude Desktop, Windsurf

{ "mcpServers": { "local-mcp": { "command": "npx", "args": ["-y", "local-mcp@latest"] } } }

These paths need Node.js. Web assistants (ChatGPT, Claude.ai, Grok, Perplexity) connect differently; see above.

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](https://www.local-mcp.com/en/privacy) and [Security](SECURITY.md). Compliance depends on your complete workflow and provider agreements, not only on where a tool runs.

Learn more

[Apple Mail with Claude](https://www.local-mcp.com/guides/claude-email-mac)
[ChatGPT, Claude.ai, Grok and Perplexity on the web](https://www.local-mcp.com/guides/web-ai)
[Microsoft Teams without Graph API](https://www.local-mcp.com/guides/claude-teams-no-api)
[WhatsApp on Mac](https://www.local-mcp.com/guides/claude-whatsapp-mac)
[Recipes and workflows](https://www.local-mcp.com/recipes)

Releases and support

See [GitHub Releases](https://github.com/colibird-ai/local-mcp-releases/releases) for this repository's history and the [download page](https://www.local-mcp.com/download?ref=github-releases) 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](https://github.com/colibird-ai/local-mcp-releases/issues). 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](mailto:ctpo@colibird.co) for support; see SECURITY.md for vulnerabilities.
For current availability, see [the website](https://www.local-mcp.com); for license terms, see LICENSE.

If LMCP helps you, [star the repository](https://github.com/colibird-ai/local-mcp-releases) to help others discover it.

LMCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Chat & emaili

Common questions

Alternatives

Vexa

emailmd

MCP WhatsApp Cloud

README from the maker

LMCP — Context and Actions for Your AI

More than one app's view of your information

Apps and tools

See it work

Install and connect

Cursor plugin

Install LMCP in your AI tool

How it works

Local tools, clear data boundaries

Learn more

Releases and support