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feat(docs): added ROADMAP.md file #1

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feat(docs): added ROADMAP.md file
m00lecule Nov 9, 2025
e2787ff
fix(docs/ROADMAP.md): applied requested changes
m00lecule Nov 17, 2025
ac0b20e
fix(docs/ROADMAP.md): highlighted sections
m00lecule Nov 17, 2025
edb492f
fix(ROADMAP.md): adjusted document structure
m00lecule Nov 17, 2025
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Expand Up @@ -43,6 +43,7 @@ workflows/
*.fits
*.tbl
*.hdr
test-output/*

# Environment variables
.env
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26 changes: 26 additions & 0 deletions docs/ROADMAP.md
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# High-level roadmap overview

* execute HyperFlow job based on LLM prompt processed by Montage MCP server

This final goal is to perform following test case:
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@balis balis Nov 14, 2025

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The final

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@m00lecule m00lecule Nov 17, 2025 •
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adjusted the typo

- user prompts LLM about astronomical image mosaic
- LLM passes the question to Montage MCP Server
- Montage prepares workflow definition
- LLM schedules workflow execution on HyperFlow (using Montage or 3rd party Kubernetes MCP server)
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@balis balis Nov 14, 2025

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I suggest "Using Hyperflow or Kubernetes MCP server" - Montage MCP will only be used for generating workflow.

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@m00lecule m00lecule Nov 17, 2025

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removed the Montage MCP server mention, as agreed it's purpose is only generating workflow file

- users gets the requested astronomical image mosaic
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@balis balis Nov 14, 2025

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Before that add another bullet:

  • User monitors the execution progress

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@m00lecule m00lecule Nov 17, 2025

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added


* architecture design

The objective is to conclude the Montage MCP server and HyperFlow communication.

Currently there are two options:
- implement the HyperFlow tasks execution in Montage MCP server
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@balis balis Nov 14, 2025

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Workflow execution is not Montage-specific (except for configuration details, such as docker image names), so it should be delegated to another server.

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@m00lecule m00lecule Nov 17, 2025

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Removed that bullet point, replaced with the LLM prepares kubectl or helm commands to execute HyperFlow task

- design a solution using two MCP servers: Montage and one supporting Kubernetes

* assess the Kubernetes MCP servers maturity

The goal is to investigate the capabilities of Kubernetes MCP server. The objective is to conclude if they are capable of creating a HyperFlow task.

* HyperFlow task monitoring

The objective is to inform the LLM the task calculation status.