aliafsahnoudeh/wildfire-mcp-server

A Model Context Protocol (MCP) server for detecting, monitoring, and analyzing potential wildfires globally using multiple data sources including NASA FIRMS, OpenWeatherMap, and Google Earth Engine.
Overview
This MCP server provides AI assistants with tools to detect and analyze wildfire activity anywhere in the world by integrating real-time satellite data, weather forecasts, air pollution metrics, and geographical information. It's designed to help identify potential wildfires and assess their environmental impact.
Features
- **Fire Detection**: Query NASA FIRMS (Fire Information for Resource Management System) for active fire hotspots
- **Weather Forecasting**: Get 5-day weather forecasts for specific locations
- **Air Pollution Monitoring**: Access current and historical air pollution data
- **Reverse Geocoding**: Convert coordinates to human-readable addresses
- **Fire Fuel Assessment**: Determine if a location contains potential wildfire fuel based on land cover data
- **Customizable Filtering**: Filter fires by radiative power, brightness temperature, and geographic boundaries
Prerequisites
Configure API keys (if required):
- NASA FIRMS Map Key
- OpenWeatherMap API Key
- Google Earth Engine credentials (if applicable)
Available Tools
get_potential_wildfires
Get potential wildfires for a specific date using NASA FIRMS data.
**Parameters:**
- date (str, optional): Date in YYYY-MM-DD format. Defaults to current date.
- frp (float): Fire Radiative Power threshold (default: 1)
- bright_ti4 (float): Brightness temperature threshold (default: 50)
- in_iran (bool): If True, filters fires to only show those within Iran's borders (useful for Iran-specific monitoring)
- bounding_box (BoundingBox, optional): Custom bounding box to limit search area to any geographic region
get_address
Get the address for given coordinates.
**Parameters:**
- latitude (float): Latitude of the location
- longitude (float): Longitude of the location
get_weather_forecast
Get 5-day weather forecast with 3-hour intervals.
**Parameters:**
- latitude (float): Latitude of the location
- longitude (float): Longitude of the location
get_current_air_pollution_data
Fetch current air pollution data.
**Parameters:**
- latitude (float): Latitude of the location
- longitude (float): Longitude of the location
get_historical_air_pollution_data
Fetch historical air pollution data for a date range.
**Parameters:**
- latitude (float): Latitude of the location
- longitude (float): Longitude of the location
- start_date (str): Start of period (YYYY-MM-DD or YYYY-MM-DD HH:MM:SS)
- end_date (str): End of period (YYYY-MM-DD or YYYY-MM-DD HH:MM:SS)
is_fire_fuel
Check if a location contains potential wildfire fuel.
**Parameters:**
- latitude (float): Latitude of the location
- longitude (float): Longitude of the location
**Returns:** Boolean indicating if location is in a potential wildfire fuel area
Testing
Using MCP Inspector
The timeout for the client needs to be increased since some data fetching operations can take a while. This can be done either by setting the config in the UI or by setting the following environment variables: