satellite-anomaly-mcp
The OrbitGuard MCP server enables AI assistants to autonomously monitor, diagnose, and respond to satellite anomalies in real time. Core capabilities include:
Telemetry Evaluation – Multi-stage safety checks against envelopes, space-weather, and sensor isolation.
Fault Simulation – Synthetic scenarios for space weather, sensor faults, true anomalies, and ADCS tumbles.
Novelty Detection – Density-based anomaly detection over configurable telemetry windows.
Fault Isolation – Commands to deweight, power cycle, isolate, or switch to redundant components (gyro, star tracker, payload power, battery).
Emergency Safe Mode – Trigger spacecraft safe mode with a specified reason.
Diagnostic Reports – Structured anomaly summaries for flight controllers.
Ground Station Authorization – Tiered verification for telemetry read, command write, and critical safe‑mode.
Live MCP Resources – Real‑time telemetry, safety thresholds, constellation health.
AI Prompt Templates – Guided triage and pass‑summary generation for operators.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@satellite-anomaly-mcp Evaluate current telemetry from satellite 17 and isolate any faults"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP
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 — like Claude, Cursor, ChatGPT, and custom flight control agents — with real-world spacecraft operational capabilities.
📋 Table of Contents
Related MCP server: STARK - The Secure AI Space Mission Commander
🛰️ Overview
What does it do?
OrbitGuard uses a multi-stage evaluation pipeline to monitor and safe satellite telemetry in real time:
Critical Envelope Validation: Validates real-time telemetry against critical hardware safety limits (voltage, thermal, and tumble rates).
Space Weather Filtering: Filters out temporary radiation-induced sensor glitches (e.g., Single Event Upsets / SEUs in the South Atlantic Anomaly).
Persistent Fault Isolation: Isolates persistent hardware faults (such as gyroscope drifts) using density-based novelty detection.
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.
💡 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.
✨ Features
🔌 MCP-Native: Seamlessly connects to any MCP client (Claude Desktop, Cursor, Custom LLM Ground Control Agents).
🛠️ Full MCP Specification: Exposes tools, live resources, and prompt templates.
⚡ Nitrostack Powered: Hosted on Nitrocloud for low-latency execution and high availability.
🔐 Secure Design: Ground station authorization and encrypted telemetry stream support.
🧩 Composable: Easily orchestrate with satellite trajectory predictors or orbital physics engines.
📐 Architecture & Capabilities
Telemetry Vector Stream
│
▼
┌───────────────────────────────────┐
│ Stage 1: Hard Safety Envelope │ ──► Trip? ──► SAFE_MODE
└───────────────────────────────────┘
│ (No)
▼
┌───────────────────────────────────┐
│ Stage 2: Space Weather Filter │ ──► SAA & SEU Glitch? ──► CONTINUE_MISSION
└───────────────────────────────────┘
│ (No)
▼
┌───────────────────────────────────┐
│ Stage 3: Sensor Fault Isolation │ ──► Gyro Drift? ──► ISOLATE_SENSOR
└───────────────────────────────────┘
│ (Nominal)
▼
NOMINAL OPERATING MODE🛠️ MCP Tools, Resources & Prompts
Core MCP Modules (src/modules/)
Module | Description | Tools / Operations |
| Multi-stage safety envelope & threshold evaluator |
|
| Fault scenario simulator & density novelty detector |
|
| Component isolation & spacecraft emergency safing |
|
| Structured diagnostic summary generator |
|
| Ground station security & permission verifier |
|
Resources
telemetry://current-state— Real-time spacecraft telemetry vector.telemetry://safety-thresholds— Configured hardware limits (voltage, thermal, tumbling).satellite://constellation-health— Health matrix across active constellation satellites.
Prompts
triage_fault— Guided flight operations prompt for anomaly evaluation and recovery.generate_pass_summary— Summary template for ground station contact passes.
🌐 Live Demo
🚀 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.
🚀 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 installConfiguration
Copy the example environment configuration file:
cp .env.example .envBuild & Run Locally
# Build TypeScript code
npm run build
# Run automated unit & integration tests
npm test
# Start local server
npm run start🔌 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.
☁️ 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.
👉 Start building: https://nitrostack.ai
🌌 Explore More MCP Apps
🌙 Join the community on Reddit: r/mcptothemoon
🧰 Discover MCP apps on the catalog: Nitrostack Apps
❓ 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.
🏷️ Keywords
Open Innovation · OrbitGuard · Satellite Fault Isolation · Anomaly Detection · MCP · Model Context Protocol · MCP Server · Nitrostack · Nitrocloud · Spacecraft Telemetry · AI Agents · Flight Operations
📜 License
Distributed under the MIT License. See LICENSE for details.
Built with ❤️ using the Model Context Protocol on Nitrostack.
Available Tools
7 toolsdetect_novelty_anomalyC
Runs density-based anomaly detector for telemetry features out of distribution.
Inputs: sample_window.
evaluate_telemetryB
Evaluates satellite telemetry frame through safety envelope, space-weather filter, and sensor isolation.
Inputs: bus_voltage (required), seu_counter (required), battery_temp (required), tumbling_rate (required), +3 more.
generate_diagnostic_reportB
Generates structured satellite anomaly diagnosis summary for flight operations controllers.
Inputs: satellite_id, time_window_minutes.
isolate_fault_componentC
Issues command to isolate suspect satellite component or switch to redundant subsystem.
Inputs: action (required), component (required), satellite_id.
simulate_scenarioB
Simulates satellite fault scenarios (space_weather, sensor_fault, true_anomaly, adcs_tumble).
Inputs: scenario_type (required).
trigger_safe_modeB
Triggers emergency spacecraft safe-mode sequence to protect bus hardware.
Inputs: reason (required), satellite_id.
verify_ground_station_authB
Verifies Ground Station security context for executing sensitive safety maneuvers.
Inputs: api_key (required), command_level (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Each tool targets a distinct phase of anomaly handling: evaluation, novelty detection, simulation, diagnosis, and response actions. Even the two detection-oriented tools are clearly differentiated by method and scope, so there is no ambiguity.
All tool names follow a consistent verb_noun snake_case pattern (e.g., evaluate_telemetry, trigger_safe_mode), making the tool set predictable and easy to navigate.
Seven tools is well-scoped for a satellite anomaly management domain, covering detection, diagnosis, simulation, and response without unnecessary redundancy.
The toolset covers the full anomaly response workflow from detection to safe mode, but lacks explicit recovery or restore operations (e.g., reactivating a component after isolation), which is a minor gap.
Maintenance
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