# codebadger

> Use this tool when you need to perform static code analysis on a variety of programming languages, including Java, C/C++, JavaScript, and more, to identify potential issues and vulnerabilities. It provides a containerized Model Context Protocol (MCP) server utilizing Joern's Code Property Graph (CPG) to analyze code and offer insights. Ideal for use with git, it accepts code repositories as input and outputs detailed analysis results.

Canonical page: https://skillsregistry.net/skills/lekssays-codebadger  
JSON: https://api.skillsregistry.net/v1/skills/lekssays-codebadger

## Description

A containerized Model Context Protocol (MCP) server providing static code analysis using Joern's Code Property Graph (CPG) with support for Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Lekssays/codebadger)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lekssays-codebadger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lekssays-codebadger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lekssays-codebadger/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt