LNR-server-01-input-data-processing

from mcp.server.fastmcp import FastMCP from identify_critical_facilities_considering_betweenness import identify_critical_facilities_considering_betweenness from identify_critical_facilities_considering_closeness import identify_critical_facilities_considering_closeness from identify_critical_facilities_considering_degree import identify_critical_facilities_considering_degree from identify_critical_facilities_considering_katz import identify_critical_facilities_considering_katz from identify_critical_facilities_considering_kshell import identify_critical_facilities_considering_kshell from identify_critical_facilities_considering_pagerank import identify_critical_facilities_considering_pagerank mcp = FastMCP(name="critical infrastructure facility identifying") mcp.add_tool(identify_critical_facilities_considering_betweenness, name="identify_critical_facilities_considering_betweenness", description="This tool is to identify relative more important facility using betweenness centrality. It reads the interdependent infrastructure network in interdependent_infrastructure_networks.json from Global_Data.json as input. It outputs the betweenness centrality-based facility importance of nodes in facility_importance_using_betweenness_centrality.json saved in Global_Data.json. If this function runs, you could observe the facility betweenness centrality information path in Global_Data.json" ) mcp.add_tool(identify_critical_facilities_considering_closeness, name="identify_critical_facilities_considering_closeness", description="This tool is to identify relative more important facility using closeness centrality. It reads the interdependent infrastructure network in interdependent_infrastructure_networks.json from Global_Data.json as input. It outputs the closeness centrality-based facility importance of nodes in facility_importance_using_closeness_centrality.json saved in Global_Data.json. If this function runs, you could observe the facility closeness centrality information path in Global_Data.json") mcp.add_tool(identify_critical_facilities_considering_degree, name="midentify_critical_facilities_considering_degree", description="This tool is to identify relative more important facility using degree centrality. It reads the interdependent infrastructure network in interdependent_infrastructure_networks.json from Global_Data.json as input. It outputs the degree centrality-based facility importance of nodes in facility_importance_using_degree_centrality.json saved in Global_Data.json. If this function runs, you could observe the facility degree centrality information path in Global_Data.json") mcp.add_tool(identify_critical_facilities_considering_katz, name="identify_critical_facilities_considering_katz", description="This tool is to identify relative more important facility using katz centrality. It reads the interdependent infrastructure network in interdependent_infrastructure_networks.json from Global_Data.json as input. It outputs the katz centrality-based facility importance of nodes in facility_importance_using_katz_centrality.json saved in Global_Data.json. If this function runs, you could observe the facility katz centrality information path in Global_Data.json") mcp.add_tool(identify_critical_facilities_considering_kshell, name="identify_critical_facilities_considering_kshell", description="This tool is to identify relative more important facility using kshell centrality. It reads the interdependent infrastructure network in interdependent_infrastructure_networks.json from Global_Data.json as input. It outputs the kshell-based facility importance of nodes in facility_importance_using_kshell.json saved in Global_Data.json. If this function runs, you could observe the facility kshell information path in Global_Data.json") mcp.add_tool(identify_critical_facilities_considering_pagerank, name="identify_critical_facilities_considering_pagerank", description="This tool is to identify relative more important facility using pagerank centrality. It reads the interdependent infrastructure network in interdependent_infrastructure_networks.json from Global_Data.json as input. It outputs the pagerank-based facility importance of nodes in facility_importance_using_pagerank.json saved in Global_Data.json. If this function runs, you could observe the facility pagerank information path in Global_Data.json") mcp.run(transport="stdio")