"A Dockerized Python Code Execution Environment" matching MCP servers:

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.

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.

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.

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.

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

Model Context Protocol server for pyCycle/OpenMDAO engine-cycle workflows, enabling lifecycle management, variable inspection, execution, sweeps, and integration with CPACS aircraft analysis pipelines.

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.

Unified SPEDAS-oriented MCP server for Claude Code and Codex agents, providing tools to discover and fetch heliophysics and planetary science data from CDAWeb, NASA PDS, and SPICE kernels.

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.

Enables interaction with SU2 CFD solver for session lifecycle management, config editing, solver execution, and results inspection, with optional CPACS integration for aircraft analysis.

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

Enables autonomous satellite agents to communicate and coordinate for orbital operations such as collision avoidance, maneuver planning, and mission execution.

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 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.

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.

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.

Aggregated public space data — satellite orbits, catalogs and launches — as a single AI-friendly CLI.

A custom MCP server that connects Kiro to live space data from NASA APIs and real-time ISS tracking, enabling queries about astronauts, ISS location, astronomy pictures, and near-Earth asteroids.