Datahub
Overview
what is Datahub?
Datahub is a Model Context Protocol server implementation that allows AI agents to query for metadata and context about your data ecosystem.
how to use Datahub?
To use Datahub, you can authenticate by configuring a global ~/.datahubenv file using datahub init, or by setting the appropriate environment variables for your DataHub instance.
key features of Datahub?
- Search across all entity types with arbitrary filters.
- Fetch metadata for any entity.
- Traverse the lineage graph, both upstream and downstream.
- List SQL queries associated with a dataset.
use cases of Datahub?
- Enabling AI agents to understand data context and metadata.
- Facilitating data lineage tracking for compliance and auditing.
- Assisting data scientists in querying and retrieving relevant data efficiently.
FAQ from Datahub?
- What is the purpose of Datahub?
Datahub serves as a centralized metadata repository that allows AI agents to interact with and understand the data ecosystem.
- How do I authenticate with Datahub?
You can authenticate using the
datahub initcommand or by setting environment variables for your DataHub instance.
- Is Datahub compatible with both OSS and Cloud versions?
Yes! Datahub supports both DataHub OSS and DataHub Cloud.
Server Config
{
"mcpServers": {
"datahub": {
"command": "uvx",
"args": [
"mcp-server-datahub"
],
"env": {
"DATAHUB_GMS_URL": "<your-datahub-url>",
"DATAHUB_GMS_TOKEN": "<your-datahub-token>"
}
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
acryldataStar
-Language
-License
-Category
research-and-data
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