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Jmunch Claude Code Setup

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Description

Enforcement system for Claude Code that orchestrates MCP servers to cut token usage by 85-98%, with short-term context isolation and adaptive cross-session memory

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

jCodeMunch + jDocMunch Setup for Claude Code

Hooks, rules, and statusline integration for [jCodeMunch](https://github.com/jgravelle/jcodemunch-mcp) and [jDocMunch](https://github.com/jgravelle/jdocmunch-mcp) — two excellent MCP servers created by [J. Gravelle (jgravelle)](https://github.com/jgravelle) that dramatically reduce token usage in Claude Code. Optional [context-mode](https://github.com/mksglu/context-mode) integration for large data files and command outputs. Optional [MuninnDB Lite](https://github.com/Aperrix/muninndb-lite) integration for persistent cross-session memory, created by [MJ Bonanno](https://scrypster.com).

**Credit where it's due:**

  • jCodeMunch and jDocMunch are built and maintained by J. Gravelle. All the clever indexing and symbol extraction is jgravelle's work.
  • context-mode is built and maintained by mksglu. The sandboxed execution, FTS5 indexing, and session persistence are mksglu's work.
  • MuninnDB Lite is built and maintained by MJ Bonanno (Aperrix) (GitHub). The cognitive memory engine, Ebbinghaus decay, Hebbian learning, and entity graph are MJ Bonanno's work.

This repo does not contain any of those MCP servers — it provides a companion enforcement and tracking layer that helps Claude Code get the most out of them.

What It Covers

Layer MCP server What it does Token savings
Code (.py/.ts/.tsx) jCodeMunch (by jgravelle) Fetches individual functions via AST parsing ~85-95%
Docs (.md/.mdx/.rst) jDocMunch (by jgravelle) Fetches specific sections by heading ~90-95%
Data (.json/.html, large) context-mode (by mksglu) Sandboxes fil