"Methods to Improve Development Productivity Using MPC (Model Predictive Control)" matching MCP servers:

mbta-mpc-server

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.

Provides a local stdio server with tools for searching places, checking ride history and active ride status, listing payment methods, getting quotes, booking rides, and canceling active rides through a reverse-engineered Waymo rider API.

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 agents to search places, get live fares and route previews, list payment methods, book rides, monitor ride and vehicle status, preview and confirm cancellations, and retrieve ride history for Tesla Robotaxi rider accounts.

Enables natural language control of live ArcGIS Pro sessions through the Model Context Protocol, allowing inspection of projects, layers, and attributes, and execution of geoprocessing tasks.

Connect QGIS to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly control QGIS — manage layers, edit features, run processing algorithms, render maps, and more.

A Model Context Protocol server that connects Large Language Models to the GeoServer REST API, enabling AI assistants to query and manipulate geospatial data through natural language.

AI-powered 3D globe control via Model Context Protocol. Connect any MCP-compatible AI agent to CesiumJS — camera, layers, entities, spatial analysis through 19 natural language tools.

A Model Context Protocol server that enables AI assistants to fetch current weather, forecasts, and search for locations using WeatherAPI service through stdio communication.

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.

A Model Context Protocol (MCP) server that provides hourly and daily weather forecasts using the AccuWeather API.

Enables 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.

Enables AI assistants to perform IP geolocation and nearby place searches using the Amap (Gaode Maps) API in China.

A server application that provides PostGIS database connection using Model Context Protocol (MCP), enabling spatial database functionality through natural language interactions.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

Enables geocoding and reverse geocoding operations to convert city names to coordinates and coordinates to location names using the API Ninjas service.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.