# Aibolit Java Code Analyzer

> Use this tool when you need to identify critical design issues in Java code, such as maintainability, readability, and architectural concerns, and receive actionable feedback for refactoring. It analyzes Java files and highlights serious design flaws, providing valuable insights for AI-assisted code reviews and refactoring sessions. The tool takes Java files as input and returns detailed feedback on high-impact improvements, making it ideal for prioritizing substantial code enhancements over cosmetic changes.

Canonical page: https://skillsregistry.net/skills/cqfn-aibolit  
JSON: https://api.skillsregistry.net/v1/skills/cqfn-aibolit

## Description

Aibolit MCP Server integrates with the Aibolit Java code analyzer to help AI agents identify critical design issues in Java code. Developed by Yegor Bugayenko, it provides a specialized tool that examines Java files and highlights the most serious design flaws requiring immediate refactoring, going beyond cosmetic issues to focus on maintainability, readability, and architectural concerns. The server executes the Aibolit CLI tool against specified Java files and returns actionable feedback, making it particularly valuable for AI-assisted code reviews and refactoring sessions where identifying high-impact improvements is prioritized over superficial changes.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cqfn-aibolit)
- **Repository:** <https://github.com/cqfn/aibolit-mcp-server>

## 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": "cqfn-aibolit"
    }
  }
}
```

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