# Cloudera Data Visualization MCP Server

> Use this tool when you need to manage and interact with Cloudera Data Visualization resources using natural language inputs, solving problems related to data visualization, user management, and resource allocation. It takes natural language commands as input and outputs managed resources, such as created groups, assigned roles, and configured datasets. This tool is ideal for streamlining data visualization workflows and automating administrative tasks in a Cloudera environment.

Canonical page: https://skillsregistry.net/skills/kevintalbert-cdv-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/kevintalbert-cdv-mcp-server

## Description

Enables AI agents to manage Cloudera Data Visualization resources including groups, users, roles, segments, workspaces, datasets, visuals, connections, and migrations via natural language.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jukh3jwb6e)
- **Repository:** <https://github.com/kevintalbert/CDV-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": "kevintalbert-cdv-mcp-server"
    }
  }
}
```

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