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io.github.FastAlertNow/mcp-server

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

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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:

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.


Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y fastalert-mcp-server

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

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

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

fastalert-mcp-servernpm

Compatible MCP Clients

io.github.FastAlertNow/mcp-server works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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