# linggen-mcp

> Use this tool when you need to generate code or automate development tasks using Git, solving problems such as repetitive coding or version control management, with inputs including Git repository data and outputs being generated code or automated commits, ideal for streamlining development workflows and improving collaboration. It provides an interface for integrating Git capabilities into custom applications or scripts. This tool is particularly useful in contexts where automated code generation or Git-based workflows are required.

Canonical page: https://skillsregistry.net/skills/linggen-linggen-mcp  
JSON: https://api.skillsregistry.net/v1/skills/linggen-linggen-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/linggen/linggen-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": "linggen-linggen-mcp"
    }
  }
}
```

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

---
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