# MCPServer-CodeManagerClaude

> MCPServer-CodeManagerClaude — jmanuelhaces-mcpserver-codemanagerclaude. Use this tool when you need to analyze and navigate complex codebases with precision, or when you want to bridge the gap between AI and your software projects. It enables AI assistants to search, explore, and understand code repositories through symbol search, definition finding, and import analysis. Ideal for use with git-based projects, providing comprehensive code exploration and advanced code metrics.

Canonical page: https://skillsregistry.net/skills/jmanuelhaces-mcpserver-codemanagerclaude  
JSON: https://api.skillsregistry.net/v1/skills/jmanuelhaces-mcpserver-codemanagerclaude

## Description

A powerful MCP (Model Context Protocol) server enabling AI assistants to analyze, search, and navigate codebases with precision. This tool bridges the gap between AI and your software projects by providing comprehensive code exploration capabilities including symbol search, definition finding, import analysis, and advanced code metrics.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/JManuelHaces/MCPServer-CodeManagerClaude)

## 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": "jmanuelhaces-mcpserver-codemanagerclaude"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmanuelhaces-mcpserver-codemanagerclaude` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmanuelhaces-mcpserver-codemanagerclaude/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
