"A command-line fuzzy finder" matching MCP servers:

Enables AI agents to search and retrieve space and astronomical data, including images, videos, audio, rocket launches, asteroid approaches, and historical firsts, with results displayed directly in chat.

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-powered AI platform for satellite mission control, enabling space weather analysis, orbital collision detection, satellite health monitoring, and secure command validation through natural language.

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.

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.

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.

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

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.

Enables LLMs and AI agents to interact with AFSIM through standardized MCP tools for scenario management, entity/component control, simulation execution, and results analysis.

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 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.

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.

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.

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

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.

Provides live astronomical telemetry and space data, including ISS tracking, NASA APOD, and solar weather, via a Model Context Protocol server with SSE and JSON-RPC support.