# mcp_123

> Use this tool when you need to manage and version control code repositories, solving problems such as collaborative development and change tracking. It takes in repository updates and outputs a version-controlled repository, providing an interface for commands like commit, push, and pull. Use it in contexts where multiple developers work together on a project, requiring a centralized and organized codebase.

Canonical page: https://skillsregistry.net/skills/kavipriya-mcp-123  
JSON: https://api.skillsregistry.net/v1/skills/kavipriya-mcp-123

## 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/kavipriya/mcp_123)

## 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": "kavipriya-mcp-123"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kavipriya-mcp-123` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kavipriya-mcp-123/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