"Understanding RAG (Retrieval-Augmented Generation or related topics)" matching MCP servers:

Enables AI agents to access spaceflight news data through the Pipeworx MCP gateway, allowing natural language queries for space-related articles and updates.

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

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.

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

Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

Enables aerodynamic analysis through XFOIL polar computations. Provides typed models and tools to run airfoil performance analyses from agents or automation workflows.

Enables AI assistants to control and automate Abaqus/CAE simulations via MCP, including model query, job management, ODB inspection, KPI extraction, capsule tracking, physics contract validation, report generation, and viewport capture. It also supports noGUI batch mode, dual transport, and integration with Codex/Claude clients.

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

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 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 satellite orbital mechanics calculations including visibility predictions, access window analysis, and TLE generation from natural language descriptions. Supports 200+ world cities and multiple orbit types (LEO, MEO, GEO, SSO, Molniya, Polar).

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.