# @rarecloudio/mcp-server

> Use this tool when you need to manage and interact with the RareCloud API, as it provides a read-only MCP server for listing servers, browsing catalogs, checking billing, and planning deployments, accepting API requests as input and returning relevant data as output, ideal for use cases requiring programmatic access to cloud resources and infrastructure management. It solves problems related to cloud resource discovery, billing management, and deployment planning, making it a valuable asset for AI agents and automated workflows. By leveraging this tool, users can streamline their cloud management tasks and make informed decisions about their infrastructure.

Canonical page: https://skillsregistry.net/skills/rarecloudio-rarecloud-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rarecloudio-rarecloud-mcp-server

## Description

Read-only MCP server for the RareCloud API, enabling AI agents to list servers, browse the catalog, check billing, and plan deployments.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jooodtw3hz)
- **Repository:** <https://github.com/RareCloudio/rarecloud-mcp-server>

## 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": "rarecloudio-rarecloud-mcp-server"
    }
  }
}
```

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