# io.github.mshegolev/harbor-registry-mcp

> Use this tool when you need to manage and optimize your Harbor Registry, as it provides core functionality for managing projects, repositories, artifacts, and storage reports, solving problems such as cluttered registries and inefficient storage use. It accepts inputs such as registry settings and cleanup parameters, and outputs reports and cleanup results, including a dry-run mode for testing. This tool is ideal for use cases where registry maintenance and cleanup are necessary to ensure efficient operation and resource utilization.

Canonical page: https://skillsregistry.net/skills/io-github-mshegolev-harbor-registry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mshegolev-harbor-registry-mcp

## Description

Harbor Registry MCP — projects, repos, artifacts, storage reports, cleanup (with dry-run).

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.mshegolev%2Fharbor-registry-mcp)
- **Repository:** <https://github.com/mshegolev/harbor-registry-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": "io-github-mshegolev-harbor-registry-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mshegolev-harbor-registry-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mshegolev-harbor-registry-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
