# code-line-counter-mcp

> code-line-counter-mcp — fashionzzz-code-line-counter-mcp. Use this tool when you need to track and analyze the scale of AI-generated code by counting the number of lines. It solves problems related to monitoring and evaluating code generation output, providing valuable insights into project scope and complexity. The tool takes AI-generated code as input and outputs the line count, making it a useful companion for git-based projects.

Canonical page: https://skillsregistry.net/skills/fashionzzz-code-line-counter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fashionzzz-code-line-counter-mcp

## Description

这是一个MCP(Model Context Protocol)工具，用于统计AI生成的代码行数。该工具可以帮助您跟踪和分析每次AI生成的代码的规模。

## Trust

- **Trust score (0–1):** 0.95
- **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/fashionzzZ/code-line-counter-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": "fashionzzz-code-line-counter-mcp"
    }
  }
}
```

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