Open Innovation Techie ZeekiesSubmitted August 1, 2026

OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP

An MCP app on the Model Context Protocol built by Techie Zeekies at the SRMIST NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

What does it do? OrbitGuard is an onboard Model Context Protocol (MCP) server designed for autonomous satellite constellation telemetry classification and fault isolation. Using a multi-stage evaluation pipeline, it: 1. Validates real-time telemetry against critical hardware safety envelopes (voltage, thermal, and tumble rates). 2. Filters out temporary radiation-induced sensor glitches (e.g., Single Event Upsets in the South Atlantic Anomaly). 3. Isolates persistent hardware faults (such as gyroscope drifts) using density-based novelty detection. 4. Generates structured diagnostic reports for ground flight controllers and triggers spacecraft emergency safing modes when necessary. Who is it for? It is built for aerospace operators, flight operations controllers, and satellite constellation managers who want to integrate AI copilots (such as ChatGPT, Claude, or custom LLM-based ground control agents) directly into their mission operations for real-time telemetry 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 give AI agents the exact troubleshooting steps needed to assist human flight controllers during anomaly resolution passes.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Live MCP appSource codeX

Team Techie Zeekies

  • LORDSON

  • Varun Jayakrishnan Unnithan

  • SANTOSH S

  • Litheshan KLead

    X
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Frequently asked questions

What does OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP do?
What does it do? OrbitGuard is an onboard Model Context Protocol (MCP) server designed for autonomous satellite constellation telemetry classification and fault isolation. Using a multi-stage evaluation pipeline, it: 1. Validates real-time telemetry against critical hardware safety envelopes (voltage, thermal, and tumble rates). 2. Filters out temporary radiation-induced sensor glitches (e.g., Single Event Upsets in the South Atlantic Anomaly). 3. Isolates persistent hardware faults (such as gyroscope drifts) using density-based novelty detection. 4. Generates structured diagnostic reports for ground flight controllers and triggers spacecraft emergency safing modes when necessary. Who is it for? It is built for aerospace operators, flight operations controllers, and satellite constellation managers who want to integrate AI copilots (such as ChatGPT, Claude, or custom LLM-based ground control agents) directly into their mission operations for real-time telemetry 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 give AI agents the exact troubleshooting steps needed to assist human flight controllers during anomaly resolution passes.
Who built OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP?
OrbitGuard: Autonomous Satellite Fault Isolation & Anomaly Detection MCP was built by team Techie Zeekies at the SRMIST NitroStack × MCP To The Moon hackathon, in the Open Innovation track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.