Provide more examples

[JulienJBO]

Hi !

This project sound very cool !
Can you provide more realistic examples ?

[yanmxa]

Hi @JulienJBO,

Thanks for your interest! Here's a real-world example:

Automated GitHub PR + Jira Linking

The Problem: Manually linking PRs with Jira issues requires multiple steps and LLM confirmations.

The Solution: With ScriptFlow MCP, one command does it all:

jira-pr-link ACM-23844 https://github.com/stolostron/multicluster-global-hub/pull/2066

Expand the execution Result:

🔗 Linking Jira issue ACM-23844 with PR #2066 from stolostron/multicluster-global-hub

🔍 Gathering information...
✓ Issue Status:
✓ Current Story Points: Not set

📝 Updating GitHub PR description...
https://github.com/stolostron/multicluster-global-hub/pull/2066
✓ Added Jira issue link to PR description

💬 Adding PR link to Jira issue...

✓ Comment added to issue "ACM-23844"
https://issues.redhat.com/browse/ACM-23844
✓ Added PR link to Jira issue

🏃 Checking sprint assignment...
📌 Adding issue to active sprint (ID: 76816)...

✓ Issues added to the sprint 76816
https://issues.redhat.com/browse/ACM
✓ Added to active sprint

✅ Successfully linked ACM-23844 with PR #2066
🔗 Jira: https://issues.redhat.com/browse/ACM-23844
🔗 PR: https://github.com/stolostron/multicluster-global-hub/pull/2066

Final Result

Benefits:

• No back-and-forth conversation needed
• Saves time and tokens
• Consistent, reliable execution

ScriptFlow MCP transforms any repetitive workflow into a single executable script.

[yanmxa]

Similar to Claude Code's Skill System

If you're familiar with Claude Code, ScriptFlow MCP follows a similar philosophy to their skill system:

Claude Code Skills: Transform repetitive workflows into reusable skills that can be invoked quickly
ScriptFlow MCP: Transform any AI workflow into persistent scripts with full lifecycle management

Both solve the same problem: avoiding repetitive multi-step conversations for tasks you do frequently.

The difference is ScriptFlow MCP provides:

• Full script lifecycle management (add, edit, list, remove, run)
• Language-agnostic support (bash, python, node.js, etc.)
• MCP-based integration with any AI client
• Configurable execution environment

Think of it as a universal skill system for any repetitive workflow you want to automate and persist.