mcp-server-datahub
The mcp-server-datahub is a server implementation that integrates with DataHub to allow AI agents to query for metadata and context within data ecosystems. It supports searching and filtering across entity types and fetching detailed metadata, making it a powerful tool for managing complex data environments.
What is the purpose of the mcp-server-datahub?
The mcp-server-datahub allows AI agents to query DataHub for metadata and context about your data ecosystem, supporting both DataHub Core and DataHub Cloud.
What are the main features of the mcp-server-datahub?
The main features include searching across all entity types, fetching metadata, traversing lineage graphs, and listing SQL queries associated with datasets.
How do I authenticate with my DataHub instance?
You need the URL of your DataHub instance and a personal access token. Alternatively, you can use a ~/.datahubenv file for authentication.
What should I do if I encounter a 'spawn uvx ENOENT' error?
Replace the 'uvx' part of the command with the full path to the 'uvx' executable, which can be found using the 'which uvx' command.
Where can I find more information on developing with mcp-server-datahub?
You can refer to the DEVELOPING.md file for more information on developing with mcp-server-datahub.