No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jgravelle · MCP Server · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jcodemunch-mcp safe to install? View the security audit →
Quickstart - https://github.com/jgravelle/jcodemunch-mcp/blob/main/QUICKSTART.md FREE FOR PERSONAL USE Use it to make money, and Uncle J. gets a taste. Fair enough? details Cut code-reading token usage by 95% or more Most AI agents explore repositories the expensive way: open entire files → skim thousands of irrelevant lines → repeat. That is not “a little inefficient.” That is a token incinerator. jCodeMunch indexes a codebase once and lets agents retrieve only the exact code they need: functions, classes, methods, constants, outlines, and tightly scoped context bundles, with byte-level precision. In retrieval-heavy workflows, that routinely cuts code-reading token usage by 95%+ because the agent stops brute-reading giant files just to find one useful implementation. Index once. Query cheaply. Keep moving. Precision context beats brute-force context. jCodeMunch MCP Structured code retrieval for serio
| Stars | 2,710 |
| Forks | 368 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 65.9198418756812/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-09 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~15k |
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jcodemunch-mcp is Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens s. It is categorized as a MCP Server with 2.7k GitHub stars.
jcodemunch-mcp is primarily written in Python. It covers topics such as ai-coding, ast, claude.
You can find installation instructions and usage details in the jcodemunch-mcp GitHub repository at github.com/jgravelle/jcodemunch-mcp. The project has 2.7k stars and 368 forks, indicating an active community.
The top alternatives to jcodemunch-mcp on Agent Skills Hub include memorix, Overture, Unity-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: