πŸ› οΈ
Jcodemunch Mcp tool by jgravelle
⭐ 63.7
πŸ› οΈ
Tool

Jcodemunch Mcp

by jgravelle jgravelle/jcodemunch-mcp
Free2AITools Nexus Index
63.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 59
P: Popularity 63
R: Recency 100
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Python Lang
Open Source 2.0K Stars
Alpha Reliability
Tool Information Summary
Entity Passport
Registry ID jgravelle/jcodemunch-mcp
License NOASSERTION
Provider github
πŸ“œ

Cite this tool

Academic & Research Attribution

BibTeX 
@misc{gh_tool_jgravelle_jcodemunch_mcp,
  author = {jgravelle},
  title = {Jcodemunch Mcp Tool},
  year = {2026},
  howpublished = {\url{https://github.com/jgravelle/jcodemunch-mcp}},
  note = {Accessed via Free2AITools.}
}
APA Style
jgravelle. (2026). Jcodemunch Mcp [Tool]. Free2AITools. https://github.com/jgravelle/jcodemunch-mcp

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/jgravelle/jcodemunch-mcp
🐍 PIP Install
pip install jcodemunch-mcp

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 59
Popularity (P) 63
Recency (R) 100
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Jcodemunch Mcp: Authority (A:59), Popularity (P:63), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“‹ Specs

Language
Python
License
NOASSERTION
Version
β€”
Explore Source Node
CODE

πŸ”Œ Usage & Integration

Quick Start

pip install jcodemunch-mcp
uvx jcodemunch-mcp

Technical Documentation

jCodeMunch MCP

The leading, most token-efficient MCP server for precise GitHub source code retrieval via tree-sitter AST parsing. Cut AI token costs 95%+ on code exploration β€” stop burning your context window reading entire files.

Real results, live from production 335B+ tokens saved Β· 48,000+ developers Β· $1.69M+ in AI spend avoided Β· 40,000+ kg COβ‚‚ prevented Live telemetry at jcodemunch.com β€” benchmark: 95% average token reduction (15 tasks / 3 repos, 99.8% peak).

Works with Autohand Code, Claude Code, Cursor, VS Code, Codex CLI, Continue, Windsurf, and any MCP-compatible client.

One-click installs:

Install in VS Code Install in VS Code Insiders Install in Cursor Claude Code Codex CLI

Prefer the command line?

text 
pip install jcodemunch-mcp
uvx jcodemunch-mcp

For pinned/B2B deployments that want a version-stable install channel independent of PyPI, install stra

Social Proof

GitHub Repository
2.0KStars
302Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--jgravelle--jcodemunch-mcp
slug
jgravelle--jcodemunch-mcp
source
github
author
jgravelle
license
NOASSERTION
tags
claude, claude-code, token-savings, ai-coding, ai-tools, ast, code-intelligence, code-retrieval, context-window, cursor, developer-tools, github, llm, mcp, mcp-server, model-context-protocol, structured-retrieval, token-efficient, token-optimization, tree-sitter, python

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
2,010
forks
302
github stars
2,010

Data indexed from public sources. Updated daily.