"AT&T" matching MCP servers:

Enables LLMs and AI agents to interact with AFSIM through standardized MCP tools for scenario management, entity/component control, simulation execution, and results analysis.

Provides seamless integration with NASA's public APIs, enabling AI assistants to access space and astronomy data including APOD, Mars rover photos, Near-Earth Objects, space weather events, and Earth imagery.

Provides standardized access to 20+ NASA data sources including astronomy pictures, Mars rover photos, near-Earth objects, satellite imagery, space weather, and planetary data through a unified interface optimized for AI consumption.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

Enables natural language control of HFSS (v2019-2025) for antenna modeling, simulation, and result extraction via win32com without PyAEDT.

Enables AI agents to track satellites in real time through the N2YO Satellite Tracking REST API — locating any satellite by NORAD id with live latitude, longitude, altitude and observer look-angles, predicting naked-eye visible passes with times, elevation and brightness, and listing which satellites are currently overhead at a given location. It also supports category filtering such as Starlink or amateur radio constellations.

Enables AI assistants to answer live space weather questions by exposing NOAA SWPC data as callable tools for the current Kp index, 3-day geomagnetic forecast, GOES solar flare activity, and aurora visibility at any latitude.

An MCP-powered AI platform for satellite mission control, enabling space weather analysis, orbital collision detection, satellite health monitoring, and secure command validation through natural language.

Enables ArduPilot drone control through MAVSDK plugins, supporting mission upload, telemetry, and flight commands via MCP tools.