mcp-loop

Automate pre-push code quality checks using jcodemunch and Cubic on MCP servers.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/antigravityos187-sketch/universal-or-strategy --skill mcp-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-loop
Source: https://github.com/antigravityos187-sketch/universal-or-strategy/tree/main/.bob/skills/mcp-loop
Command: npx skills add https://github.com/antigravityos187-sketch/universal-or-strategy --skill mcp-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jcodemunch, Cubic CLI, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The mcp-loop Skill automates pre-push code quality checks for semantic review using MCP servers, ensuring that only code of high quality and adherence to standards is pushed.

Core Features & Use Cases

  • MCP-Based Quality Checks: Executes jcodemunch and Cubic code analysis tools to check semantic correctness, merge safety, and other important quality factors.
  • Automated Process: Fully automates the quality checking process, reducing manual intervention and improving efficiency.
  • Use Case: It is designed to be used as a pre-push quality gate before code is pushed to GitHub, helping catch issues early and prevent costly rework later on.

Quick Start

To execute the mcp-loop Skill, you would run the following command:

use_mcp_tool jcodemunch-mcp query_repository --query "Review changes for V12 DNA compliance and semantic correctness"

Frequently Asked Questions about mcp-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate pre-push code quality checks for semantic review?

Automated pre-push code quality checks execute jcodemunch and Cubic tools via MCP servers to validate semantic correctness and merge safety before code is pushed to version control.

What is an MCP server used for in code quality analysis?

An MCP server hosts jcodemunch and Cubic code analysis tools to execute automated semantic review, ensuring code correctness and merge safety before pushing changes to GitHub.

How do I run jcodemunch to review code changes for semantic correctness?

Run jcodemunch by querying the repository to review changes for semantic correctness, which triggers automated code analysis on the MCP server to validate code quality before pushing.

Can I use automated semantic review checks for my software team's version control workflow?

Automated semantic review checks fit software teams using version control systems by acting as a pre-push quality gate to catch issues early and prevent costly rework.

What is the best way to prevent merge safety issues before pushing code?

Running automated pre-push quality checks using jcodemunch and Cubic via MCP servers is the best way to validate merge safety and semantic correctness before pushing code.

Do I need Cubic CLI and jcodemunch to run MCP-based pre-push checks?

Yes, running MCP-based pre-push checks requires both jcodemunch and Cubic CLI dependencies to execute the automated semantic code analysis and validate merge safety.