About
Provides ephemeris, orbital mechanics, DSN operations and celestial body data through MCP with STDIO or SSE transports for web and client integration.
Capabilities
IO Aerospace MCP Server
The IO Aerospace MCP Server is a ready‑to‑use, cloud‑hosted service that exposes a rich set of aerospace and astrodynamics tools via the Model Context Protocol. By providing both STDIO and Server‑Sent Events (SSE) transports, it allows AI assistants—such as Claude or other MCP‑compatible agents—to request complex orbital calculations, ephemeris data, and mission analysis functions without any local installation or kernel management. Developers can simply point their AI workflow to the base URL () and begin invoking advanced space‑flight computations in seconds.
What Problem Does It Solve?
Aerospace engineering tasks routinely require precise celestial mechanics, time‑system conversions, and deep‑space network operations. Traditionally, developers must install large SPICE kernel datasets, configure proprietary libraries, and manage versioning across multiple tools. The IO Aerospace MCP Server eliminates this overhead by bundling the IO Aerospace Astrodynamics framework and all necessary SPICE kernels into a single, maintainable service. This streamlines integration, reduces local dependencies, and ensures that AI assistants always use the latest, validated algorithms.
Core Value for AI‑Enabled Development
- Zero‑setup integration: The hosted instance requires no local software; AI clients only need the base URL.
- Unified API surface: All calculations—ephemeris, orbital element conversions, coordinate transformations, and deep‑space network station geometry—are exposed through a single MCP endpoint.
- Scalable transport: The server supports both STDIO (ideal for local MCP clients) and SSE (perfect for web‑based or event‑driven applications).
- Consistent, reproducible results: By centralizing the Astrodynamics framework and kernel files, developers avoid discrepancies caused by differing local installations.
Key Features Explained
- Celestial Body Ephemeris: Retrieve state vectors (position and velocity) for any solar system object at arbitrary epochs.
- Orbital Mechanics Conversions: Convert between state vectors, Keplerian elements, equinoctial elements, and equatorial coordinates in either direction.
- Coordinate Transformations: Translate state vectors between reference frames, enabling analysis in Earth‑centric or heliocentric contexts.
- Constraint Solvers: Identify time windows that satisfy distance, coordinate, or occultation constraints—useful for visibility planning and mission design.
- Deep Space Network Geometry: Compute planetodetic coordinates for DSN ground stations, facilitating link budget and communication planning.
- Time System Utilities: Convert between UTC, TDB, TT, and other time scales essential for precise timing in space missions.
Real‑World Use Cases
- Mission Planning: AI assistants can generate trajectory segments, perform delta‑V calculations, and evaluate visibility windows for ground contacts.
- Spacecraft Operations: On‑board AI can request real‑time ephemeris data or coordinate transformations to adjust attitude and navigation.
- Educational Platforms: Interactive learning tools can query the server to demonstrate orbital mechanics concepts without complex local setups.
- Web‑Based Simulators: Browser applications can subscribe to SSE updates, allowing live visualization of orbital events or DSN link availability.
Integration into AI Workflows
An MCP‑compatible assistant simply sends a structured request describing the desired tool and parameters. The server processes the request using the IO Aerospace Astrodynamics core, returns a JSON payload with results, and streams any updates via SSE if requested. This pattern lets developers embed sophisticated space‑flight calculations directly into conversational AI, enabling scenarios such as “Help me plan a lunar flyby” or “Show me when the DSN can communicate with my spacecraft.”
Unique Advantages
- Production‑Ready Hosting: The service is live out of the box, eliminating local kernel management and ensuring high availability.
- Open‑Source Foundation: Built on the IO Aerospace Astrodynamics framework, which is open source and continuously maintained.
- Dual Transport Modes: Supports both command‑line clients (STDIO) and modern web integrations (SSE), covering a wide range of deployment environments.
- Comprehensive Toolset: From raw ephemeris to complex constraint solving, the server offers a one‑stop API for most aerospace engineering needs.
In summary, the IO Aerospace MCP Server empowers AI assistants and developers to perform accurate, high‑performance space‑flight calculations without the traditional burden of local software stacks, making it an indispensable component for any AI‑driven aerospace application.
Related Servers
n8n
Self‑hosted, code‑first workflow automation platform
FastMCP
TypeScript framework for rapid MCP server development
Activepieces
Open-source AI automation platform for building and deploying extensible workflows
MaxKB
Enterprise‑grade AI agent platform with RAG and workflow orchestration.
Filestash
Web‑based file manager for any storage backend
MCP for Beginners
Learn Model Context Protocol with hands‑on examples
Weekly Views
Server Health
Information
Explore More Servers
Nuri MCP Server
Custom MCP server tools for local development
OpenAI Image Generation MCP Server
Generate images with OpenAI via MCP
Memorious MCP
Local, private semantic memory for AI assistants
Langgraph Practice MCP Server
MCP server for Langgraph and AI automation experiments
Didlogic MCP Server
LLM‑powered interface to Didlogic services
Zh Mcp Server
Automate Zhihu article creation with a Model Context Protocol service