# Code Analysis

> Use this tool when you need to analyze code structure, calculate quality metrics, and extract documentation from codebases. It solves problems such as identifying potential issues, generating insights, and assisting in code review processes, taking in codebases as input and outputting comprehensive views of code structure and quality. It is particularly useful in contexts such as architectural analysis, code quality assessment, and automated documentation generation.

Canonical page: https://skillsregistry.net/skills/davidvc-code-analysis  
JSON: https://api.skillsregistry.net/v1/skills/davidvc-code-analysis

## Description

This Code Analysis MCP plugin, developed by an unspecified author, enables AI assistants to perform sophisticated code analysis using a Neo4j graph database. Built with Java and leveraging libraries like JavaParser and Neo4j, it offers tools for analyzing code structure, calculating quality metrics, extracting documentation, and answering high-level questions about codebases. The plugin implements advanced metrics calculation and natural language query processing, abstracting the complexities of code parsing and graph database operations. By providing a comprehensive view of code structure and quality, it allows AI systems to generate insights, identify potential issues, and assist in code review processes. This implementation is particularly valuable for software development teams, code reviewers, and architects, facilitating use cases such as architectural analysis, code quality assessment, and automated documentation generation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/davidvc-code-analysis)
- **Repository:** <https://github.com/davidvc/code-mcp>

## 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": "davidvc-code-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidvc-code-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidvc-code-analysis/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
