The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the MCP Server listing page.
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.
You can find your API key by visiting FastAlert and navigating to Settings.
The following tools are available through this MCP server. Each tool can be called by an AI assistant to perform specific actions.
list_channelsReturns a list of available FastAlert channels.
Input Parameters:
name (string, optional): A search term to filter channels by name.Example Call:
Structured JSON Output (Default):
Human-Readable Text Output:
send_messageSends 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:
Structured JSON Output (Default):
Human-Readable Text Output:
FastAlertcommandnpx -y fastalert-mcp-serverAPI_KEY.https://mcp.fastalert.now/mcp).claude_desktop_config.json..env.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 |
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License.