"Debugging software using GDB (GNU Debugger)" matching MCP servers:

Turns an AI assistant into an OpenFOAM setup and debugging co-pilot, enabling case scaffolding, dictionary edits, mesh sizing, turbulence calculations, and solver log analysis through natural language.

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

An MCP server that lets AI agents search, save, preview, download, and cart satellite scenes from ISRO's Bhoonidhi portal in natural language, with search and saved queries requiring no login and downloads/cart operations using an out-of-band session.

Turns any MCP client into an OpenFOAM setup and debugging co-pilot, enabling case scaffolding, dictionary edits, mesh sizing, inlet turbulence calculations, and solver-log convergence checks through natural language.

Enables automated geometry editing and aerodynamic analysis using OpenVSP and VSPAero through natural language. Provides tools to modify aircraft geometry parameters and run computational fluid dynamics simulations programmatically.

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.

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

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.

Tracks real satellites and screens close approaches using live TLE data and SGP4 propagation, exposing tools for fetching positions and conjunction checks.

SWMF MCP Server enables AI agents to work with the Space Weather Modeling Framework (SWMF) through tools for context, evidence, artifact inspection, and comparison. It includes task-specific skills for explanation, configuration, building, running, debugging, and analysis.

Enables real-time aircraft tracking and analysis through MCP, including airspace scanning, aircraft state lookup, callsign search, and identifying nearest, highest, or fastest aircraft using OpenSky Network data.