Skip to main content
Glama

OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP

Model Context Protocol Built with Nitrostack TypeScript Status License: MIT

OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP is an onboard Model Context Protocol (MCP) server designed for autonomous satellite constellation telemetry classification, South Atlantic Anomaly (SAA) radiation glitch filtering, and fault isolation. Built and deployed on Nitrostack, it extends AI assistants โ€” like Claude, Cursor, ChatGPT, and custom flight control agents โ€” with real-world spacecraft operational capabilities.


๐Ÿ“‹ Table of Contents


๐Ÿ›ฐ๏ธ Overview

What does it do?

OrbitGuard uses a multi-stage evaluation pipeline to monitor and safe satellite telemetry in real time:

  1. Critical Envelope Validation: Validates real-time telemetry against critical hardware safety limits (voltage, thermal, and tumble rates).

  2. Space Weather Filtering: Filters out temporary radiation-induced sensor glitches (e.g., Single Event Upsets / SEUs in the South Atlantic Anomaly).

  3. Persistent Fault Isolation: Isolates persistent hardware faults (such as gyroscope drifts) using density-based novelty detection.

  4. Automated Triage & Safing: Generates structured diagnostic reports for flight controllers and triggers spacecraft emergency safing modes when necessary.

Who is it for?

Aerospace operators, flight operations controllers, and satellite constellation managers looking to integrate AI copilots directly into ground control operations for real-time monitoring and automated troubleshooting.

What makes it special?

  • Native MCP Integration: Exposes real-time spacecraft state vectors and safety limits as live MCP resources.

  • Space Weather Intelligent Filtering: Distinguishes between transient radiation noise and genuine hardware failures to prevent unnecessary safe-mode entries.

  • Copilot-Guided Triage: Bundles structured prompt templates (triage_fault, generate_pass_summary) to provide AI agents with exact step-by-step troubleshooting instructions during anomaly passes.


๐Ÿ’ก What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external tools, data sources, and services. Instead of being limited to static knowledge, an AI model calls MCP servers to retrieve live data, execute commands, and interface with physical and software systems.

Learn more about building and shipping MCP apps at nitrostack.ai.


โœจ Features

  • ๐Ÿ”Œ MCP-Native: Seamlessly connects to any MCP client (Claude Desktop, Cursor, Custom LLM Ground Control Agents).

  • ๐Ÿ› ๏ธ Full MCP Specification: Exposes tools, live resources, and prompt templates.

  • โšก Nitrostack Powered: Hosted on Nitrocloud for low-latency execution and high availability.

  • ๐Ÿ” Secure Design: Ground station authorization and encrypted telemetry stream support.

  • ๐Ÿงฉ Composable: Easily orchestrate with satellite trajectory predictors or orbital physics engines.


๐Ÿ“ Architecture & Capabilities

                  Telemetry Vector Stream
                            โ”‚
                            โ–ผ
          โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
          โ”‚  Stage 1: Hard Safety Envelope    โ”‚ โ”€โ”€โ–บ Trip? โ”€โ”€โ–บ SAFE_MODE
          โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                            โ”‚ (No)
                            โ–ผ
          โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
          โ”‚  Stage 2: Space Weather Filter   โ”‚ โ”€โ”€โ–บ SAA & SEU Glitch? โ”€โ”€โ–บ CONTINUE_MISSION
          โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                            โ”‚ (No)
                            โ–ผ
          โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
          โ”‚  Stage 3: Sensor Fault Isolation  โ”‚ โ”€โ”€โ–บ Gyro Drift? โ”€โ”€โ–บ ISOLATE_SENSOR
          โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                            โ”‚ (Nominal)
                            โ–ผ
                     NOMINAL OPERATING MODE

๐Ÿ› ๏ธ MCP Tools, Resources & Prompts

Core MCP Modules (src/modules/)

Module

Description

Tools / Operations

telemetry

Multi-stage safety envelope & threshold evaluator

evaluate_telemetry

anomaly

Fault scenario simulator & density novelty detector

simulate_scenario, detect_novelty_anomaly

alerts

Component isolation & spacecraft emergency safing

isolate_fault_component, trigger_safe_mode

reports

Structured diagnostic summary generator

generate_diagnostic_report

auth

Ground station security & permission verifier

verify_ground_station_auth

Resources

  • telemetry://current-state โ€” Real-time spacecraft telemetry vector.

  • telemetry://safety-thresholds โ€” Configured hardware limits (voltage, thermal, tumbling).

  • satellite://constellation-health โ€” Health matrix across active constellation satellites.

Prompts

  • triage_fault โ€” Guided flight operations prompt for anomaly evaluation and recovery.

  • generate_pass_summary โ€” Summary template for ground station contact passes.


๐ŸŒ Live Demo

๐Ÿš€ Live MCP Endpoint: https://satellite-fault-isolation-6a6c6d22-techie-zeekies-srmist.app.nitrocloud.ai

Point your MCP client directly to this URL to start querying spacecraft state vectors and diagnosing simulated satellite anomalies.


๐Ÿš€ Getting Started

Prerequisites

  • Node.js: v18.0.0 or higher

  • npm: v9.0.0 or higher

  • An MCP-compatible client (Claude Desktop, Cursor, VS Code with MCP extension)

Installation

git clone https://github.com/Litheshan07/satellite-anomaly-mcp.git
cd satellite-anomaly-mcp
npm install

Configuration

Copy the example environment configuration file:

cp .env.example .env

Build & Run Locally

# Build TypeScript code
npm run build

# Run automated unit & integration tests
npm test

# Start local server
npm run start

๐Ÿ”Œ Connect to an MCP Client

Add OrbitGuard to your MCP client configuration file (e.g., claude_desktop_config.json or Cursor settings):

{
  "mcpServers": {
    "orbitguard": {
      "url": "https://satellite-fault-isolation-6a6c6d22-techie-zeekies-srmist.app.nitrocloud.ai"
    }
  }
}

Restart your client to expose OrbitGuard's tools, resources, and prompt templates directly to your AI assistant.


โ˜๏ธ Deploy Your Own MCP App

Want to build and ship an MCP server like OrbitGuard? Nitrostack enables fast creation, deployment, and hosting of MCP applications with zero infrastructure management.

๐Ÿ‘‰ Start building: https://nitrostack.ai


๐ŸŒŒ Explore More MCP Apps


โ“ FAQ

What is an MCP server?

An MCP server implements the Model Context Protocol to securely expose tools, live data resources, and structured prompts to AI assistants.

What does OrbitGuard do?

OrbitGuard provides telemetry safety checks, filters radiation noise (SEUs) in low-Earth orbit, isolates hardware component failures (like gyro drift), and automates spacecraft emergency safing.

Which AI clients support OrbitGuard?

Any client compatible with the MCP standard, including Claude Desktop, Cursor, and custom LLM applications built with @modelcontextprotocol/sdk.


๐Ÿท๏ธ Keywords

Open Innovation ยท OrbitGuard ยท Satellite Fault Isolation ยท Anomaly Detection ยท MCP ยท Model Context Protocol ยท MCP Server ยท Nitrostack ยท Nitrocloud ยท Spacecraft Telemetry ยท AI Agents ยท Flight Operations


๐Ÿ“œ License

Distributed under the MIT License. See LICENSE for details.


Built with โค๏ธ using the Model Context Protocol on Nitrostack.