# claude-code-mcp

> Use this tool when you need to automate code analysis, review, and editing tasks, such as explaining, reviewing, fixing, or testing code. It solves problems related to code quality, debugging, and optimization, providing outputs like explained code, review results, or fixed code snippets. The tool receives input requests via Stdio and is suitable for use cases where automated code analysis and editing are required, such as in software development and testing contexts.

Canonical page: https://skillsregistry.net/skills/kunihiros-claude-code-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kunihiros-claude-code-mcp

## Description

This project aims to build a Claude Code MCP server and implement its associated tools (explain\_code, review\_code, fix\_code, edit\_code, test\_code, simulate\_command, your\_own\_query). The server is implemented using Node.js and the MCP SDK. It receives tool requests from clients via Stdio, dynamically

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jdj2mvzg31)
- **Repository:** <https://github.com/KunihiroS/claude-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": "kunihiros-claude-code-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kunihiros-claude-code-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kunihiros-claude-code-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