"PocketBase-Cursor-MCP server by Minhdtb" matching MCP servers:

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.

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.

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 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.

MCP server for space weather and HF propagation conditions — live solar flux, Kp index, DSCOVR solar wind, X-ray flux, alerts, 27-day forecast, and band-by-band outlook through any MCP-compatible AI assistant.

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.

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.

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.

Flight Logger - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables live aircraft tracking by geographic area, individual aircraft lookup, flight route resolution, and airport arrivals/departures using OpenSky Network ADS-B data.

Drone Airspace Governance - MCP server providing AI-powered tools and automation by MEOK AI Labs

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.

Airspace Monitor - MCP server providing AI-powered tools and automation by MEOK AI Labs

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 access to real-time satellite tracking data using the N2YO API, enabling users to get satellite positions, predict visible passes, search satellites by name or category, and retrieve TLE orbital data.

Enables searching roughly 1,600 UIUC airfoil coordinate files by name, keyword, or family, and fetching any airfoil's live geometry — point count, format, max thickness and max camber with their chordwise stations, plus optional raw surface coordinates.

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.

Spacecraft component specifications read from vendor datasheets (2,500+ products, 24 categories): search by engineering requirements, compare, budget mass and power, read datasheet digests and facts, find data gaps, and assemble a bus around parts you lock. Every value cites its datasheet page; missing data is named, never guessed.

Enables AI assistants such as Claude Desktop and Cursor to access live satellite orbit propagation, ground-station pass prediction, geodetic conversion, and Doppler shift calculations through MCP tools.

Enables AI agents to search de-identified NASA aviation safety incident reports by keyword, date range, aircraft or flight phase, fetch a full narrative and coded fields by ACN, and list the thirty covered safety topics with their report counts and NASA update dates. Answers come from NASA's periodic Report Set PDFs parsed into a queryable store, so coverage is limited to those topics.

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.