# DuploCloud MCP Server

> Use this tool when you need to manage and automate DuploCloud infrastructure through a programmable interface, solving problems such as manual configuration and auditing of cloud resources. It takes in queries and commands as input and outputs the current state of infrastructure and action results, enabling AI agents to make data-driven decisions. This tool is ideal for automating cloud management tasks and integrating with AI workflows that require infrastructure orchestration.

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

## Description

Exposes DuploCloud infrastructure management as MCP tools by dynamically discovering duploctl commands, enabling AI agents to query state and perform auditable actions.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opd9o3bpl1)
- **Repository:** <https://github.com/duplocloud/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": "duplocloud-mcp"
    }
  }
}
```

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