"Natural Language to SQL Conversion Tools or Resources" matching MCP servers:

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 assistants to interact with Yamcs mission control systems through natural language, providing tools and resources for telemetry, commands, links, storage, instances, and alarms.

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.

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.

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

Enables users to determine a celestial object's magnetic compass bearing, altitude, and horizon visibility for a given location and time, including coordinate conversion and timed tracking samples.

Turns an AI assistant into an OpenFOAM setup and debugging co-pilot, enabling case scaffolding, dictionary edits, mesh sizing, turbulence calculations, and solver log analysis through natural language.

MCP server for designing drones and related physical systems through natural language in Spanish, with deterministic calculation and simulation.

Provides real-time NASA data (APOD, asteroids, Mars rover photos, natural events, space weather) via natural language queries or menu-based interaction, requiring no API key for basic use.

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.

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.

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.

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 MCP clients to search, read, and cite the EASA Easy Access Rules with exact rule references, metadata, and linked AMC/GM. It covers aircrew, air operations, SERA, sailplanes, balloons, continuing airworthiness, basic regulation, drones, and aerodromes, returning ranked results and full rule text.

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.

US drone airspace intelligence and mission planning. 24 MCP tools: check airspace restrictions across 11 FAA data layers, plan grid/orbit/corridor surveys, validate Part 107 compliance, generate pre-flight briefings, and export to KML/GPX/QGC/Litchi/WPML.

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.

Connects AI coding agents to Microsoft Flight Simulator via SimConnect, enabling full read/write access to SimVars, L-vars, events, calculator code execution, and embedded documentation for add-on development.

Provides smart URL navigation to ANSYS Fluent documentation, enabling AI assistants to quickly find relevant help pages and manual sections.

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

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.

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 AI agents to identify and diagnose ArduPilot flight controllers over MAVLink, reading status, parameters, backups and diffs, and running guided calibrations. It is read-only by default, with human-approved, read-back-verified parameter changes and identity-checked backups gated behind explicit flags.

Enables an LLM to read S1000D BREX data modules and check data modules against them, reporting allowed elements, values, SNS code meanings, and permitted illustration formats. Also returns each rule violation with its XPath location, actual value, rule ID, and severity, following the BREX reference chain layer by layer.