# javalens-mcp

> javalens-mcp — pzalutski-pixel-javalens-mcp. Use this tool when you need to analyze Java code semantically for AI-driven development, providing insights through navigation, refactoring, search, and metrics capabilities. It solves problems related to code understanding, optimization, and maintenance, accepting Java code as input and outputting analyzed data for AI agents. Ideal for use in git-based projects requiring automated code analysis and improvement.

Canonical page: https://skillsregistry.net/skills/pzalutski-pixel-javalens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pzalutski-pixel-javalens-mcp

## Description

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/pzalutski-pixel/javalens-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": "pzalutski-pixel-javalens-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pzalutski-pixel-javalens-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pzalutski-pixel-javalens-mcp/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