# MCACP

> Use this tool when you need to manage and interact with multiple coding agents from a single interface, solving problems of agent discovery, permission handling, and session management. MCACP enables users to spawn, manage, and control ACP coding agents, accepting inputs from the ACP registry and user interactions, and producing outputs such as managed agent sessions and configurable permission policies. It is ideal for use cases requiring multi-agent control and flexible permission management.

Canonical page: https://skillsregistry.net/skills/oortonaut-mcacp  
JSON: https://api.skillsregistry.net/v1/skills/oortonaut-mcacp

## Description

MCACP lets any MCP client spawn, manage, and interact with ACP coding agents. It turns a single chat window into a multi-agent control plane, supporting agent discovery and installation from the ACP registry, session persistence and resumption, interactive permission handling, and configurable permission policies including allow-all, deny-all, elicitation, and operator modes.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/oortonaut-mcacp)
- **Repository:** <https://github.com/oortonaut/mcacp>

## 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": "oortonaut-mcacp"
    }
  }
}
```

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