AnanyaSubmitted October 18, 2026

HelioTrace: MCP-Powered Space Weather Intelligence & Event Correlation

An MCP app on the Model Context Protocol built by Ananya at the Heapify Global Community NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

HelioTrace is an MCP-powered space weather intelligence system built with NitroStack and integrated with NASA's DONKI (Database Of Notifications, Knowledge, Information). It helps users explore space-weather events, investigate recorded relationships, and compare activity across different time periods through a unified, AI-compatible workflow. The system provides four core MCP tools: Space Weather Event Search, Solar Event Investigation, Multi-Category Briefing, and Period Comparison. These enable users to retrieve records across supported event categories, examine NASA-recorded connections between solar flares and coronal mass ejections (CMEs), summarize selected space-weather activity, and compare event counts across date ranges. HelioTrace also exposes three MCP resources for its usage guide, event types, and methodology, along with reusable prompts for common investigations. Four dedicated result widgets present tool outputs in structured views, including event records, matched and unmatched events, comparisons, and source links where available. Its modular workflow separates data retrieval, event correlation, comparison, and presentation, providing a foundation for future multi-agent orchestration. By combining NASA data with MCP interoperability, HelioTrace makes space-weather information easier to explore and investigate. It is designed as a research and information tool, not a forecasting or operational warning system; recorded relationships do not independently establish causation.

Live MCP appSource code

Team Ananya

  • AnanyaLead

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Frequently asked questions

What does HelioTrace: MCP-Powered Space Weather Intelligence & Event Correlation do?
HelioTrace is an MCP-powered space weather intelligence system built with NitroStack and integrated with NASA's DONKI (Database Of Notifications, Knowledge, Information). It helps users explore space-weather events, investigate recorded relationships, and compare activity across different time periods through a unified, AI-compatible workflow. The system provides four core MCP tools: Space Weather Event Search, Solar Event Investigation, Multi-Category Briefing, and Period Comparison. These enable users to retrieve records across supported event categories, examine NASA-recorded connections between solar flares and coronal mass ejections (CMEs), summarize selected space-weather activity, and compare event counts across date ranges. HelioTrace also exposes three MCP resources for its usage guide, event types, and methodology, along with reusable prompts for common investigations. Four dedicated result widgets present tool outputs in structured views, including event records, matched and unmatched events, comparisons, and source links where available. Its modular workflow separates data retrieval, event correlation, comparison, and presentation, providing a foundation for future multi-agent orchestration. By combining NASA data with MCP interoperability, HelioTrace makes space-weather information easier to explore and investigate. It is designed as a research and information tool, not a forecasting or operational warning system; recorded relationships do not independently establish causation.
Who built HelioTrace: MCP-Powered Space Weather Intelligence & Event Correlation?
HelioTrace: MCP-Powered Space Weather Intelligence & Event Correlation was built by team Ananya at the Heapify Global Community NitroStack × MCP To The Moon hackathon.
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.