# AgentCloud MCP Server

> AgentCloud MCP Server — premhiru-agentcloud. Use this tool when you need to manage and deploy AI workers efficiently, solving problems of version control, testing, and deployment across multiple tenants while ensuring policy enforcement and isolation. It provides a comprehensive interface for managing the lifecycle of AI workers, from development to deployment. Ideal for use cases requiring scalable, secure, and controlled AI worker management.

Canonical page: https://skillsregistry.net/skills/premhiru-agentcloud  
JSON: https://api.skillsregistry.net/v1/skills/premhiru-agentcloud

## Description

Enables managing persistent AI workers through MCP tools for versioning, safe testing, deployment, approvals, and run lifecycle with tenant isolation and policy enforcement.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dls1468n28)
- **Repository:** <https://github.com/premhiru/agentcloud>

## 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": "premhiru-agentcloud"
    }
  }
}
```

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