"Information about a Facebook page" matching MCP servers:

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

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.

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 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.

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 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 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.

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.

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 access to live SpaceX data including latest launches, upcoming launches, and company information through the SpaceX API.

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

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

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.

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.

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

Wraps the Launch Library 2 API to provide access to launch data, enabling queries about upcoming and past launches.

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.