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FastAlertNow MCP

by FastAlertNowversion 1.3.1i★ –iRuns on your computer
Registry nameio.github.FastAlertNow/mcp-server

Install

Overview

Description from the maker (original English)

Official MCP server for FastAlert, providing tools to list channels and send notifications.

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": {
    "fastalertnow": {
      "command": "npx",
      "args": [
        "-y",
        "fastalert-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add fastalertnow -- npx -y fastalert-mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "fastalertnow": {
      "command": "npx",
      "args": [
        "-y",
        "fastalert-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": {
    "fastalertnow": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "fastalert-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 FastAlertNow, 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 32583 servers in this category
  • Published to the registry more recently than 2% of the other 32583 servers in this category
  • Basic checks equal to or better than 100% of the other 32583 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 FastAlertNow MCP 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 (1.3.1) 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, sync. labs

Alternatives

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

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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.

FastAlert MCP Server

Official Model Context Protocol (MCP) server for FastAlert. This server allows AI agents (like Claude, ChatGPT, and Cursor) to list of your channels and send notifications directly through the FastAlert API.

Features

  • Channel Discovery: List all of your channels with optional name filtering.
  • Send Notifications: Send rich messages (title, content, actions, images) to one or multiple channels.

Quick Start

{

"mcpServers": { "fastalert": { "command": "npx", "args": ["-y", "fastalert-mcp-server"], "env": { "API_KEY": "your-api-key-here" } } } }

You can find your API key by visiting FastAlert and navigating to Settings.

Available Tools

The following tools are available through this MCP server. Each tool can be called by an AI assistant to perform specific actions.

1. list_channels

Returns a list of available FastAlert channels.

Input Parameters:

  • name (string, optional): A search term to filter channels by name.

Example Call:

{

"name": "Service Alerts" }

Structured JSON Output (Default):

{

"status": true, "message": "You have fetch channels successfully", "data": { "channels": [ { "uuid": "sdf12sdf-6541-5d56-s5sd-1fa513e88a81", "name": "Service Alerts", "subscriber": 1000 } ] } }

Human-Readable Text Output:

Here are your FastAlert channels:

Service Alerts UUID: sdf12sdf-6541-5d56-s5sd-1fa513e88a81 Subscribers: 1000

2. send_message

Sends a notification message to one or more channels.

Input Parameters:

  • channel-uuid (string, required): The unique identifier for the target channel.
  • title (string, required): The title of the alert notification.
  • content (string, required): The main body text of the notification.
  • action (string, optional): Type of action ('call', 'email', 'website', 'image').
  • action_value (string, optional): The value for the action (e.g., a URL or phone number).
  • image (string, optional): URL or identifier for an image to include.

Example Call:

{

"channel-uuid": "sdf12sdf-6541-5d56-s5sd-1fa513e88a81", "title": "System Update", "content": "A new version of the system is now live.", "action": "website", "action_value": "https://fastalert.now/updates" }

Structured JSON Output (Default):

{

"status": true, "message": "Message has been sent successfully" }

Human-Readable Text Output:

Message Sent Successfully!

Your message "System Update" has been sent to Service Alerts.

Channel UUID: sdf12sdf-6541-5d56-s5sd-1fa513e88a81 Title: System Update Content: A new version of the system is now live.

Integration with LLMs

Configuration in Cursor
  1. Go to Settings -> MCP.
  2. Click Add New MCP Server.
  3. Name: FastAlert
  4. Type: command
  5. Command: npx -y fastalert-mcp-server
  6. Env: Add API_KEY.
Configuration in ChatGPT
  1. Go to Settings -> Integrations.
  2. Click Add MCP Server.
  3. Use the hosted URL of your server (e.g., https://mcp.fastalert.now/mcp).
  4. Follow the OAuth prompts.
Configuration in Claude
  1. Open claude_desktop_config.json.
  2. Add the following entry:
{

"mcpServers": { "fastalert": { "command": "npx", "args": ["-y", "fastalert-mcp-server"], "env": { "API_KEY": "your-api-key-here" } } } }

Setup & Development

Requirements
  • Node: Version 18 or higher is recommended.
  • API_KEY: A valid FastAlert API Key is required for authentication.
Local Installation
  1. Clone the repository
  2. Copy the example environment file:
   cp .env.example .env
  1. Configure your environment variables in .env.
  2. Install dependencies:
   npm install
  1. Build the project:
   npm run build
  1. Run inspector tests:
   npm run inspector
  1. Run locally:
   npm start
Configuration (Environment Variables)

The following environment variables should be configured in your .env file:

VariableDescriptionExample
API_URLThe FastAlert API endpointhttps://api.fastalert.now/api
FRONT_URLYour frontend application URLhttps://fastalert.now
BASE_URLThe public URL where this MCP server is hostedhttp://localhost:3000
API_KEYYour FastAlert API Keyyour-api-key-here
PORT(Optional) Port to run the server on3000

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.


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