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Raycast

by ExpertVagabondversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.ExpertVagabond/raycast

Install

Overview

Description from the maker (original English)

Raycast workflow automation MCP server with 9 tools

PopNx MCP’s three pillars

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

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: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

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

{
  "mcpServers": {
    "raycast": {
      "command": "npx",
      "args": [
        "-y",
        "raycast-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add raycast -- npx -y raycast-mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "raycast": {
      "command": "npx",
      "args": [
        "-y",
        "raycast-mcp-server"
      ]
    }
  }
}

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": {
    "raycast": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "raycast-mcp-server"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ExpertVagabond, which owns the repo

  • … 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18349 servers in this category
  • Published to the registry more recently than 2% of the other 18349 servers in this category
  • Basic checks equal to or better than 100% of the other 18349 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 Raycast safe?

It passed 1 of 1 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?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, arr-mcp

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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arr-mcp

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One server, 40 tools, the whole media stack: *arrs, Jellyfin, Plex, Seerr, Cleanuparr, downloaders

Runs on your computerUpdated today
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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.

Raycast MCP Server

A comprehensive Model Context Protocol (MCP) server for Raycast workflow automation, providing 9 powerful tools to integrate Raycast with AI assistants like Claude.

Features

🔧 9 Comprehensive Tools
  1. raycast_auth - Manage Raycast and service authentication
  2. raycast_extensions - Manage Raycast extensions and store integration
  3. raycast_workflows - Create and manage Raycast workflows and automations
  4. raycast_search - Search and launch applications, files, or commands via Raycast
  5. raycast_clipboard - Manage clipboard history via Raycast
  6. raycast_shortcut - Trigger Raycast shortcuts and hotkeys
  7. raycast_window - Control Raycast window behavior
  8. raycast_system - Access system functions through Raycast
  9. Plus additional workflow tools
🚀 Capabilities
  • Full OAuth integration support for multiple services
  • Extension management and publishing workflow
  • Custom workflow creation and execution
  • System automation and control
  • Clipboard management
  • Search and navigation

Installation

Via Claude Desktop

Add to your claude_desktop_config.json:

{

"mcpServers": { "raycast": { "command": "node", "args": ["/path/to/raycast-mcp/dist/index.js"], "env": { "RAYCAST_API_KEY": "${RAYCAST_API_KEY}", "RAYCAST_TEAM_ID": "${RAYCAST_TEAM_ID}" } } } }

Via NPX (Coming Soon)
npx raycast-mcp-server
Via Smithery
smithery install raycast-mcp-server

Development

Prerequisites
  • Node.js 18+
  • TypeScript
  • Raycast installed on macOS
Setup
git clone https://github.com/ExpertVagabond/raycast-mcp-server.git

cd raycast-mcp-server npm install npm run build

Running Locally
npm start
Building for Production
npm run build

Usage Examples

Authentication Management
# Setup GitHub authentication

{"tool": "raycast_auth", "arguments": {"action": "setup", "service": "github"}}

Validate credentials

{"tool": "raycast_auth", "arguments": {"action": "validate", "service": "github"}}

Extension Management
# Search for extensions

{"tool": "raycast_extensions", "arguments": {"action": "search", "query": "github"}}

List installed extensions

{"tool": "raycast_extensions", "arguments": {"action": "list"}}

Workflow Automation
# Create a custom workflow

{"tool": "raycast_workflows", "arguments": { "action": "create", "name": "morning-routine", "steps": [ {"type": "command", "action": "open-calendar"}, {"type": "api_call", "action": "fetch-weather"}, {"type": "notification", "action": "daily-summary"} ] }}

Execute a workflow

{"tool": "raycast_workflows", "arguments": {"action": "execute", "name": "morning-routine"}}

Environment Variables

  • RAYCAST_API_KEY - Raycast API key (if available)
  • RAYCAST_TEAM_ID - Raycast team ID (if applicable)

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT

Support

For issues and feature requests, please use the GitHub Issues page.


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