"A software or tool called Desktop Commander" matching MCP servers:

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.

Provides satellite tracking data using Two-Line Element sets from a free public API. Enables querying satellite orbits and positions through natural language or direct tool calls.

Connects AI agents to MAVLink drones (PX4, ArduPilot) via a capability layer with safety guardrails, enabling telemetry, flight control, and mission management through natural language.

Live space data for AI agents: upcoming rocket launches (SpaceX, NASA, Rocket Lab…), ISS pass predictions for any city or coordinates (live SGP4), and launch news in 7 languages. Read-only, no auth, no API key. Backed by gocosmik.com — the free real-time 3D satellite tracker.

Enables AI agents to run Link Budget, Radar Range, and EO/IR calculations and to read the user's saved projects by exchanging request and result files through a local folder that the macOS/iPadOS engineering calculator app watches. All computation happens in the app, and results are returned verbatim, including undetermined outcomes that report missing inputs.

A local, open-source MCP server that wraps astronomy data services (SIMBAD, JPL Horizons, VizieR, etc.) behind a conversational interface, enabling AI assistants to answer astronomy questions with real, typed, and provenance-tracked data.

Maintained fork of Three-Little-Birds/openvsp-mcp, adding OpenVSP geometry inspection, typed parameter editing, SVG/STL previews, validated VSPAERO analysis, and durable parallel batches with progress, cancellation, resume, and CSV/JSON export. Independently maintained by rhyne1012; not an official OpenVSP or NASA project.

Enables requirement-level question answering over your own ECSS and NASA space standards documents, returning exact citations to the document, issue and requirement ID or an explicit "not covered". It offers tools for listing loaded documents, fetching requirements by ID, keyword-searching requirements and table rows, reading tables, tracing references, comparing a topic across standards, and retrieving section outlines.

Vedaksha MCP Server Astronomical ephemeris and Vedic astrology computation for AI agents via the Model Context Protocol.

Enables read-only querying of orbital launch and space-sector data plus testnet event-market listings, order books, midpoint prices, and cancel-safety checks on Base Sepolia. It does not place, cancel, or claim orders, and it never resolves markets.

Enables AI clients to search a bilingual glossary of Earth-Moon space terms by keyword and retrieve individual entries with full definitions, references, and page links through two read-only MCP tools. It covers 720 terms across 8 categories.

Provides LLM agents with a toolset for reviewing S1000D technical publications, including XML schema validation, cross-reference and applicability checks, skeleton generation, and AI-suggested fixes.

Seven keyless Earth-data tools for AI agents: live USGS earthquakes with time-window and magnitude filters, ISS position, current weather, Base gas price, and live-data postcards. One optional paid tool behind a fail-closed spend cap.

Enables an LLM to check S1000D data modules through XML schema validation, BREX rule checks, and reference resolution, returning an evidence-backed combined verification status per data module or across a whole CSDB folder.

Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.

Enables natural language analysis of ArduPilot flight logs (.bin files) via AI chat apps like Claude Desktop, Cursor, and VS Code, providing explanations and answering questions about flight issues.

Enables authenticated access to a pilot's flight-planning account, letting an assistant search installed airfield charts offline, pull full airfield records with pilot notes and live feedback, and list, read, or download flightplans from local disk or cloud storage.

Enables users to query live local ADS-B flight data from their own receiver, listing aircraft overhead or near a point and finding aircraft by callsign, ICAO hex code, or registration.

Lets an MCP client read PX4 SITL .ulg logs and answer why a flight failed or underperformed — failsafes, arming reasons, estimator validity versus simulator ground truth, and how late PX4 followed offboard velocity setpoints. It also lists, searches, scans and plots topics, messages and parameters across logs, replacing hand-written pyulog scripts.

Enables external agents to define and execute read-only derived properties over an ontology by analyzing field requests, validating link cardinality, and generating Semantic Join SQL within a three-hop neighborhood.

Read-only MCP server that enables astronomy session planning against the Telescopius REST API, covering target search and info, twilight and rise/set times, nightly weather forecasts, event calendars, news, observing lists and equipment. It can also open the Telescope Simulator in a headed browser to capture framing screenshots for a given rig or mosaic layout.

Enables MCP clients and LLM agents to run deterministic fast-reactor and fuel-cycle solvers in one place: sodium bundle thermal hydraulics with FCCI margins, RVACS decay-heat transients, heat-pipe/sCO2 capillary limits, LiCl-KCl electrorefining mass balance, Ac-225 isotope yield, data-center microgrid load-following, defense microreactor resilience, and HALEU cask logistics. Exposes a chained multi-physics transient orchestrator tool alongside a standalone CLI for scripted physics runs.

Viznoir empowers AI agents to directly analyze and visualize complex 3D scientific and engineering data in cinematic resolution using a fully headless VTK engine. It enables LLMs to seamlessly execute advanced physical analysis, 3D rendering, and generate publication-ready animations purely through natural language commands.

Enables any MCP client to plan and run verifiable analysis of engine hot-fire and bench test data through tools that open runs, segment phases, check sensor health, redlines, valve response and oscillations, compare simulations, verify every reported number against an evidence ledger, and write HTML reports. All findings stay traceable and reproducible from deterministic tool calls rather than raw samples.

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.

Enables aerodynamic analysis through XFOIL polar computations. Provides typed models and tools to run airfoil performance analyses from agents or automation workflows.

Generates a unique number derived from the International Space Station's current orbital location, useful for space-derived identifiers or deterministic random seeds.

Gives AI assistants read-only access to public astronomy archives (TNS, SIMBAD, VSX, Gaia, TESS, ZTF, Rubin and others) so a sky position or object can be checked in seconds for whether it is already known. It returns compact JSON verdicts with evidence, failed sources, image links, and tonight's observable unclassified transients.

Enables checking US airports for ground stops, Ground Delay Programs, delays, and closures, while listing all active national airspace events and reading the Command Center's operations plan and full ATCSCC advisory text. It runs over stdio or Streamable HTTP and also decodes FAA event types, traffic-management terms, ARTCC codes, and identifier formats.

Provides live ADS-B aircraft positions and enables searching by registration, ICAO hex, or callsign, viewing nearby traffic sorted by distance, finding the closest aircraft, filtering by type or military status, and looking up airport information.