"A managed cloud provider that deploys my application" matching MCP servers:

Auto-managed SPICE kernels for heliophysics missions. Enables querying spacecraft positions, trajectories, and coordinate transforms via natural language.

MCP server that exposes NOAA/SWPC HF band-condition and space-weather tools, providing real-time solar indices, band conditions, forecasts, alerts, solar wind, and X-ray flux for ham radio operators.

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.

An MCP server that lets AI agents search, save, preview, download, and cart satellite scenes from ISRO's Bhoonidhi portal in natural language, with search and saved queries requiring no login and downloads/cart operations using an out-of-band session.

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.

Enables running, monitoring, and managing ANUGA flood simulations on Hydrata Cloud, supporting project listing, scenario queries, simulation start, status polling, cancellation, and retry operations.

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 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.

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.

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.

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.

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

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.

An MCP server that equips LLM clients with authoritative astrodynamics tools including TLE/SGP4 propagation, Lambert solving, ground-station access, time-scale and coordinate-frame conversions, and more.

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.

Provides real-time space data including ISS and Tiangong tracking, crew in space, rocket launches, space news, Mars missions, a star catalog, near-Earth asteroids, and satellites. All 18 tools are read-only.

A read-only MCP server over the Cassini-Huygens mission dataset exposing tools for querying activity data such as listing, searching, counting, aggregating, and timeline analysis.

Enables AI agents to query NASA/JPL data on asteroids and comets, including small-body orbits and physical parameters, near-Earth close approaches, Sentry impact-risk assessments, and recent atmospheric fireballs. All four tools are keyless and work over a hosted gateway endpoint or a local stdio server.