FastAlert MCP Server

FastAlert MCP Server

Enables AI agents to list FastAlert channels and send rich notifications via the FastAlert API.

Category
Visit Server

README

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
    
  3. Configure your environment variables in .env.
  4. Install dependencies:
    npm install
    
  5. Build the project:
    npm run build
    
  6. Run inspector tests:
    npm run inspector
    
  7. Run locally:
    npm start
    

Configuration (Environment Variables)

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

Variable Description Example
API_URL The FastAlert API endpoint https://api.fastalert.now/api
FRONT_URL Your frontend application URL https://fastalert.now
BASE_URL The public URL where this MCP server is hosted http://localhost:3000
API_KEY Your FastAlert API Key your-api-key-here
PORT (Optional) Port to run the server on 3000

Contributing

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

License

This project is licensed under the MIT License.


Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured