mcp-server-datahub

A Model Context Protocol server implementation for DataHub. This enables AI agents to query DataHub for metadata and context about your data ecosystem.

Supports both DataHub Core and DataHub Cloud.

Features

• Searching across all entity types and using arbitrary filters
• Fetching metadata for any entity
• Traversing the lineage graph, both upstream and downstream
• Listing SQL queries associated with a dataset

Demo

Check out the demo video, done in collaboration with the team at Block.

Usage

For authentication, you'll need to set the following environment variables:

export DATAHUB_GMS_URL=https://name.acryl.io/gms
export DATAHUB_GMS_TOKEN=<your-token>

uvx --from acryl-datahub datahub init

Claude Desktop

In your claude_desktop_config.json file, add the following:

{
  "mcpServers": {
    "datahub": {
      "command": "uvx",
      "args": ["mcp-server-datahub"],
      "env": {
        "DATAHUB_GMS_URL": "<your-datahub-url>",
        "DATAHUB_GMS_TOKEN": "<your-datahub-token>"
      }
    }
  }
}

Cursor

In .cursor/mcp.json, add the following:

{
  "mcpServers": {
    "datahub": {
      "command": "uvx",
      "args": ["mcp-server-datahub"],
      "env": {
        "DATAHUB_GMS_URL": "<your-datahub-url>",
        "DATAHUB_GMS_TOKEN": "<your-datahub-token>"
      }
    }
  }
}

Other MCP Clients

command: uvx
args:
  - mcp-server-datahub
env:
  DATAHUB_GMS_URL: <your-datahub-url>
  DATAHUB_GMS_TOKEN: <your-datahub-token>

Developing

See DEVELOPING.md.