# cloud.agkit/agkit

> cloud.agkit/agkit — cloud-agkit-agkit. Use this tool when you need to manage and deploy AgentKit configurations, solve issues related to agent management and server setup, and automate tasks through a command-line interface that accepts input parameters and outputs configuration status and server responses. It is ideal for use cases involving agent orchestration, server administration, and automated deployment. Use agkit in contexts where efficient management of agent-based systems and MCP servers is required.

Canonical page: https://skillsregistry.net/skills/cloud-agkit-agkit  
JSON: https://api.skillsregistry.net/v1/skills/cloud-agkit-agkit

## Description

AgentKit management-plane CLI + MCP server (agkit).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/cloud.agkit%2Fagkit)

## 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": "cloud-agkit-agkit"
    }
  }
}
```

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