# cdp-pc

> cdp-pc — zz22394-cdp-pc-mcp. Use this tool when you need to access and manage Cloudera CDP Public Cloud resources using natural language commands, providing read-only access to environments, datahubs, and other cloud assets. It solves problems related to cloud resource discovery and description, accepting natural language inputs and returning detailed information about the requested resources. Ideal for use cases where users need to quickly retrieve information about their CDP Public Cloud setup without navigating complex interfaces.

Canonical page: https://skillsregistry.net/skills/zz22394-cdp-pc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zz22394-cdp-pc-mcp

## Description

Provides read-only access to the Cloudera CDP Public Cloud control plane, allowing users to list and describe environments, datahubs, datalakes, DW clusters, virtual warehouses, DE services, ML workspaces, and IAM users via natural language. It uses the installed cdp CLI and supports profiles.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i6cl7a6yxo)
- **Repository:** <https://github.com/zz22394/cdp-pc-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": "zz22394-cdp-pc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zz22394-cdp-pc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zz22394-cdp-pc-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