jCodeMunch MCP

Name: jCodeMunch MCP Review
Item: jCodeMunch MCP
Rating: 3.8
Author: Aaron Matthews

Connector Development Solid

Works inClaude Code Claude Cowork Claude Chat

Solid Scanned — metadata only

Reduces token consumption and API costs when analyzing codebases by retrieving only relevant symbols instead of full files, enabling cost-effective large-sca…

Token-efficient MCP server for precise symbol-level GitHub code retrieval via tree-sitter AST parsing, supporting 25+ languages.

Find all function definitions in a large codebase without downloading entire files
Extract specific class methods across multiple languages for code review analysis
Retrieve symbol locations and dependencies to understand code architecture quickly

2,192 starsFree

Why it matters

Reduces token consumption and API costs when analyzing codebases by retrieving only relevant symbols instead of full files, enabling cost-effective large-scale code review and refactoring workflows.

Best for

Engineering teams performing codebase audits, migrations, or dependency analysis across multi-language repositories.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/jgravelle/jcodemunch-mcp

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

First thing to try

Once it’s connected, paste this into Claude:

Help me find all function definitions in a large codebase without downloading entire files

Trust Signals Auto-scanned

Stars2,192Contributors48Last updated2026-07-25Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 2,192 GitHub stars; 48 contributors; last commit 0d ago; license no license.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

2/5

Versatility

5/5

Reliability

5/5

Security

4/5

Overall score3.80 / 5.00 SolidEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 2,192 GitHub stars; 48 contributors; last commit 0d ago; license no license.

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