"Archive of Our Own" matching MCP servers:

Enables querying the NASA MAST archive of space telescopes for astronomical data, including cone searches, mission-specific queries, and target name resolution.

Provides AI assistants with live information about who is currently in space and the location of the ISS, using the free Open Notify API.

Provides deterministic computation of magnetic declination and sky positions (sun, moon, planets) for any location and time, enabling agents to get accurate ephemeris and geomagnetic data without hallucination.

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.

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 AI agents to autonomously write, run, and debug NASA GMAT mission scripts, with tools for script execution, curated knowledge of common pitfalls, and semantic documentation search.

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.

Enables configuration, diagnostics, and troubleshooting of iNAV fixed-wing flight controllers over USB via Claude.

Enables an LLM to build S1000D data modules and publication modules from structured drafts and numbering rules instead of writing XML, verifying results against XSD, BREX and references and applying only unambiguous fixes. It also supports converting experiential manuals, extracting and restoring translatable segments, creating comment modules, and writing nothing by default.

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.

This server allows Large Language Models to consume S1000D data and publication modules as structured information instead of raw XML. It enables reading the content's hierarchy, applicability to specific products, and document verification status.

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 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.

Exposes the astrodynamics capabilities of the Brahe library enabling language models to perform space situational awareness and astrodynamics calculations.

Enables retrieval of CelesTrak satellite pass predictions, NOAA space weather Kp observations and alerts, and conversion of ICAO NOTAM Q-line notices into GeoJSON bounding envelopes through MCP tools.

Provides MCP tools for CPACS-oriented TiGL workflows, enabling lifecycle management, inspection, export, and parameter manipulation of aircraft geometry models without native geometry runtimes.

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.

Windsock aircraft intelligence for AI agents: stdio bridge (npm windsock-mcp / PyPI windsock-mcp) to the hosted Windsock MCP server with 38 tools for aircraft valuations, FAA registry lookup, cost of ownership, comparable aircraft, ADs/STCs, market metrics, reports and logbooks.

Enables retrieval of satellite vegetation statistics (NDVI) and searches of Sentinel-2 scene catalogs, returning results as JSON.

Provides real-time International Space Station position and the list of people currently in space via the Open Notify API.

Enables AI agents to pull the Astronomy Picture of the Day, near-Earth asteroid close approaches, Mars rover imagery, and image-library media, plus space-weather events such as solar flares, coronal mass ejections, geomagnetic storms and solar energetic particles. Also surfaces forecaster alerts, watches, warnings and weekly summaries for space-weather situational awareness.

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

Find M12 lenses and C-mount lenses, math lenses to image sensors, calculate sensor-specific field of view with distortion, and verify current Commonlands product information

Enables natural language control of ArduPilot drones via MAVLink, supporting arm, takeoff, mode changes, and mission uploads.

Provides access to JPL Horizons data for querying ephemerides and orbital information of solar system objects.

Enables users to access a local ephemeris database of 111 Chinese remote-sensing satellites, including catalog data, TLE history, sensors, and transit windows, via Streamable HTTP for SIRIAgent.

Enables an AI assistant to poll a queue of alerts about watched spacecraft contacting Earth via NASA's Deep Space Network and acknowledge them once reported. It also lets users manage a watchlist, mute craft, and inspect feed freshness, all through pull-based MCP tools.

Enables advanced geospatial analysis including elevation queries, line-of-sight calculations, terrain visualization, and autonomous drone mission planning with real-time safety analysis and 3D visualization capabilities.

Enables AI agents to browse NASA Langley's catalog of turbulence-model verification and validation cases and retrieve the experimental or correlation reference datasets published for those cases. It lets users filter cases by category and inspect documented flow conditions such as Mach and Reynolds numbers.