# DataHub

> Use this tool when you need to manage and discover metadata in complex data environments, such as data cataloging, lineage tracking, and governance, across various data assets. DataHub provides entity retrieval and search functionality through its integration with the DataHub API, offering a bridge to a comprehensive metadata platform. It is ideal for use cases requiring efficient metadata management and discovery, including data ecosystems with diverse data assets.

Canonical page: https://skillsregistry.net/skills/acryldata-datahub  
JSON: https://api.skillsregistry.net/v1/skills/acryldata-datahub

## Description

This MCP server implementation provides a bridge to DataHub, a metadata platform for data ecosystems. Developed by Acryl Data, it integrates with the DataHub API to offer tools for entity retrieval and search functionality across various data assets. The server is designed for use cases requiring metadata management and discovery in complex data environments, such as data cataloging, lineage tracking, and governance.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/acryldata-datahub)
- **Repository:** <https://github.com/acryldata/mcp-server-datahub>

## 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": "acryldata-datahub"
    }
  }
}
```

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