# watchgoose-mcp

> watchgoose-mcp — bartekrutkowski-watchgoose-mcp. Use this tool when you need to manage and automate tasks on the Watchgoose platform, solving problems related to version control and deployment. It provides a MCP implementation with git capabilities, accepting input from git repositories and outputting automated workflows. Ideal for use cases requiring streamlined development and deployment processes on Watchgoose.

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

## Description

MCP implementation for https://watchgoose.com

## Trust

- **Trust score (0–1):** 0.81
- **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/bartekrutkowski/watchgoose-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": "bartekrutkowski-watchgoose-mcp"
    }
  }
}
```

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