# hco-mcp

> hco-mcp — nzkbuild-hco-mcp. Use this tool when you need to enhance your AI agent's capabilities with memory and version control, allowing it to learn and adapt over time. It solves problems related to knowledge retention and collaboration, providing a git interface for managing and tracking changes. Ideal for applications requiring continuous learning and improvement, such as chatbots and virtual assistants.

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

## Description

Give your AI agent a memory. And a seatbelt.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/nzkbuild/hco-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": "nzkbuild-hco-mcp"
    }
  }
}
```

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