datahub
pipStandardThe DataHub MCP server connects AI agents to DataHub's metadata management system. It exposes APIs for querying data assets, lineage, and ownership. Agents can discover and understand data ecosystems by interacting with DataHub's metadata graph. Developers use it to integrate AI agents with DataHub for automated data discovery and documentation.
66310Updated 2 months ago
Overview
The DataHub MCP server connects AI agents to DataHub's metadata management system. It exposes APIs for querying data assets, lineage, and ownership. Agents can discover and understand data ecosystems by interacting with DataHub's metadata graph. Developers use it to integrate AI agents with DataHub for automated data discovery and documentation.
Installation
1Install the package
pip
pip install mcp-server-datahub2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"acryldata-mcp-server-datahub-github": {
"command": "uvx",
"args": [
"pip install mcp-server-datahub"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from datahub?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in datahub?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in datahub"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in datahub with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with datahub
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