# mcproc

> mcproc — neptaco-mcproc. Use this tool when you need to manage background processes on AI agents, providing a comfortable and efficient way to handle Model Context Protocol (MCP) server tasks. It solves problems related to process management, allowing for seamless integration with git for version control. The mcproc tool accepts input from AI agents and outputs managed process results, ideal for use cases requiring automated background task handling.

Canonical page: https://skillsregistry.net/skills/neptaco-mcproc  
JSON: https://api.skillsregistry.net/v1/skills/neptaco-mcproc

## Description

A Model Context Protocol (MCP) server for comfortable background process management on AI agents.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **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/neptaco/mcproc)

## 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": "neptaco-mcproc"
    }
  }
}
```

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