"Understanding High-Level Control Systems" matching MCP servers:

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

Enables searching Canadian Tire's product catalogue, checking product details, store-level stock, and finding nearby stores.

An unofficial MCP server that provides access to Indonesia's BMKG data, including real-time earthquake reports, village-level weather forecasts, and extreme weather alerts. It enables users to search for location codes and retrieve detailed meteorological and geophysical information through natural language.

Enables AI agents to query hyperlocal urban heat data for US locations, including street-level heatmaps, environmental parameters, satellite/street-view segmentation, and heat intelligence reports.

A Model Context Protocol server that provides a dynamic map interface with tools to add raster/vector layers, control map view, and modify paint properties.

Enables AI assistants and developers to search 1,000+ public bikeshare systems and fetch live station, free-floating vehicle, alert, and vehicle-type data through the General Bikeshare Feed Specification.

Provides real-time pollen level alerts and hayfever mitigation tips using the Ambee API.

MCP server for discovering French local natural, technological, and industrial risks at commune level using Géorisques, administrative references, and open risk datasets. It provides tools to query risk sources, datasets, and commune briefs.

Enables real-time weather queries for cities worldwide using Open-Meteo API. Provides 7-day forecasts with detailed information including temperature, wind, humidity, precipitation, and comfort level assessments in both Chinese and English.

Fetches tide information for any location using latitude and longitude, providing detailed tide data including high/low tides and station information with automatic UTC time zone handling.

Enables safe local MCP-based control of ArcMap Desktop 10.8, allowing read-only inspection of map documents, layers, datasets, and execution of allowlisted geoprocessing tools through ArcPy.

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS for project creation, layer loading, code execution, and more.

Enables Claude Desktop to access Tesla vehicle data through the Tessie API. Users can query their car's location, battery level, mileage, driving history, and charging status using natural language.

Lets AI assistants control a live ArcGIS Pro session through arcpy, including layer management, attribute queries, geoprocessing, symbology, and export.

Integrates with Google Maps to locate and evaluate medical facilities in emergency situations, helping users find appropriate hospitals and clinics based on medical needs, emergency level, and facility capabilities.

Enables interaction with QGIS (Quantum GIS) through an MCP plugin and server, allowing natural language commands to control QGIS.

A Model Context Protocol server that integrates TAK Server with AI systems, providing geospatial-aware tools for querying, analyzing, and interacting with tactical data.

Enables AI assistants to submit and track local household-service requests such as house cleaning or pest control, validating details and passing each as a routed opportunity to external providers or buyer networks. Exposes service-discovery, submission, and status-check tools so those requests flow through one consistent intake pipeline.

Provides real-time bus and train information across 10+ cities in Malaysia, including live vehicle tracking, arrival predictions, stop search, and route discovery for public transit systems.

MCP server that allows AI agents to control a live ArcMap session via arcpy, including listing layers, zooming, exporting maps, and viewing the canvas, specifically for legacy ArcMap 10.4-10.8.