mpalpha

Learning Library MCP Server

A concise MCP server for capturing and retrieving universal working knowledge. Records meta-patterns about effective work with AI agents, tools, protocols, and processes - NOT task-specific code patterns.

Author: Jason Lusk jason@jasonlusk.com License: MIT Gist URL: https://gist.github.com/mpalpha/32e02b911a6dae5751053ad158fc0e86

Features

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---
description: Self-Learning Protocol - Universal Pattern for All Tasks
globs:
alwaysApply: true
---

# Self-Learning Protocol (MANDATORY)

**A fundamental working methodology that applies to ALL tasks - every action taken during development, testing, debugging, and implementation.**

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---
description: Context Management Protocol - Prevent knowledge loss from context exhaustion
globs:
alwaysApply: true
---

# Context Management Protocol (MANDATORY)

Prevent knowledge loss from context exhaustion through proactive state documentation.

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---
description: Backend API verification protocol for GraphQL-dependent features
globs:
alwaysApply: true
---

# Backend Verification Protocol

## Activation Protocol

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---
description: Work Coordination & Task Prep Mode
globs:
alwaysApply: true
---

# Work Coordination & Task Prep Mode

## Activation Protocol

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You are an autonomous agent generating an Agile/Scrum standup report AND ticket-pickup recommendation for Jira user: {JIRA_USERNAME}.

Requirements

Output must be 2–3 minutes total reading time.

Each section must be 30–60 seconds.

Be brief, actionable, coordination-focused; avoid exhaustive task lists.

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Agent Behavioral Standards: Anti-CHORES Protocol

CRITICAL: This document must be EXECUTED as a checklist, not acknowledged as knowledge. Before any output, actively verify against every category below.

Pre-Output Verification Protocol (MANDATORY)

Before ANY file write, edit, or final response, execute this checklist:

Draft Review Process:

1. Generate draft output

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If a GitHub Gist URL is provided, you MUST:

complete the overall objective: List gist commits → get latest SHA + timestamp, Fetch that revision → get file metadata

Retrieve raw text via raw_url

1. Identify the LATEST revision of the Gist.
2. Open that LATEST revision (not a cached or base view).
3. Attempt to retrieve its full content.

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MODEL Framework for Iterative Prompt Refinement

Hardened, Executable, Non-Summarizable Specification with Behavioral Guardrails

Purpose

The MODEL Prompt Optimization Framework is an executable prompt-engineering protocol designed to iteratively refine prompts through enforced, auditable iterations while preventing common AI behavioral failure modes.

This framework is procedural, not conceptual. Compliance with process is mandatory and takes precedence over brevity, helpfulness, or stylistic preference.

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Protocol Enforcer MCP Server

A Model Context Protocol (MCP) server that enforces custom workflow protocols before allowing AI agents to perform file operations.

Author: Jason Lusk jason@jasonlusk.com License: MIT Gist URL: https://gist.github.com/mpalpha/c2f1723868c86343e590ed38e80f264d

What This Does