# data-marketplace-mcp-server

> data-marketplace-mcp-server — frothkoetter-data-marketplace-mcp-server. Use this tool when you need to manage and govern internal data products, enabling discovery, access, and publishing across your organization. It solves problems related to data silos, access control, and data product management, providing a centralized interface for integration with tools like Cloudera AI Workbench and Apache Atlas. It takes in data products and metadata as inputs and outputs governed and accessible data assets.

Canonical page: https://skillsregistry.net/skills/frothkoetter-data-marketplace-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/frothkoetter-data-marketplace-mcp-server

## Description

Enables discovery, governance, access, and publishing of data products in an internal data marketplace, with integration for Cloudera AI Workbench and Apache Atlas.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fdc4f34rki)
- **Repository:** <https://github.com/frothkoetter/data-marketplace-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": "frothkoetter-data-marketplace-mcp-server"
    }
  }
}
```

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