"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP servers:

Enables AI agents to load, translate, simulate, and analyze Modelica models in Dymola via the Model Context Protocol.

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.

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

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.

Enables an MCP client to drive CST Studio Suite 2026 through its official Python automation API, covering 3D modelling, materials, ports, boundaries, mesh and solver configuration, solver runs, and result reading. Also provides verification and export tools — S11, reference impedance, port diagnostics, energy budget and model audit — plus Touchstone/ASCII/JSON evidence output and parameter sweeps, all locally over stdio.

MCP server for the INDIGO astronomy automation protocol, enabling AI agents to control telescopes, cameras, focusers, filter wheels, domes, and other observatory equipment through natural language.

Enables searching U.S. aviation accident and incident records by aircraft registration, make/model, or date range and state, returning event details, injury levels, probable cause, findings, and NTSB docket links.

Enables AI agents to browse NASA Langley's catalog of turbulence-model verification and validation cases and retrieve the experimental or correlation reference datasets published for those cases. It lets users filter cases by category and inspect documented flow conditions such as Mach and Reynolds numbers.

Enables MCP clients to search GitHub repositories and users, retrieve weather data and forecasts, and access NASA astronomy and image data through modular MCP tools.

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.