A
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qualityD
maintenanceA Python-based MCP server that collects, analyzes, and visualizes forest fire occurrence data on maps, allowing users to access regional fire information, risk analysis, and map visualizations.
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MIT
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"Frontend development utilities for LLM webpage visualization" matching MCP servers:
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netloc8-mcpofficial
FlicenseAqualityAmaintenanceModel Context Protocol server for the NetLoc8 IP geolocation API. Gives AI assistants access to country/city lookup, timezone reconciliation, and IP utilities.Last updated7- AlicenseAqualityDmaintenanceEnables natural language search and retrieval of data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform, including location-based queries, attribute filtering, and data visualization capabilities.Last updated18MIT
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Magic Lane MCP Serverofficial
AlicenseBqualityBmaintenanceEnables AI agents to become geospatially intelligent assistants with tools for location search, smart routing, round trip planning, reverse geocoding, isochrone analysis, route visualization, geofence management, and interactive map display.Last updated8183Apache 2.0- -licenseBqualityDmaintenanceEnables users to retrieve current weather alerts for US states and detailed weather forecasts by geographic coordinates using the US National Weather Service API. Built with Node.js and TypeScript following Model Context Protocol standards for seamless LLM integration.Last updated2
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gmp-code-assistofficial
Alicense-qualityCmaintenanceEnhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.Last updated103Apache 2.0
