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Forest Fire
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python
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7 months ago
First Indexed
3 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"daniel8824-del-forest-fire-mcp": {
"command": "python",
"args": [
"forest_fire_mcp_server.py"
]
}
}
}You use this Python-based MCP server to collect wildfire data, analyze it, and visualize it on a map. It lets you query regional wildfire data, assess danger levels, and view map visualizations to support informed decisions.
How to use
Set up the data path so the server can read wildfire information. Example path assignment you can adapt to your environment:
FOREST_FIRE_DATA_PATH = "C:/Users/YourName/Desktop/MCP/forest_fire_data.json"
How to use with the MCP server
Run the MCP server from your project directory using the python command the server expects.
python forest_fire_mcp_server.py
Starting and verifying the server
When the server starts successfully, you should see a startup message in the console indicating the server is running.
Note the server needs to remain running to respond to requests from your MCP client.
Using the MCP client to query data
Launch your MCP client (for example a Claude desktop integration) and issue natural language commands that align with the server’s data and capabilities. Typical commands include querying wildfire data by region and year, requesting risk assessments for a location, and visualizing wildfire occurrences on a map.
Examples of typical client interactions
Ask for wildfire data by region and year, for example: “Tell me the wildfire data for Gangwon Province in 2021.”
Ask for risk analysis: “What is the wildfire risk in the Goseong area of Gangwon Province?”
Ask to view on the map: “Show me wildfire locations in Gangwon Province, Goseong, on the map.”