iflow-mcp_acryldata-mcp-server-datahub

# DataHub MCP Server A [Model Context Protocol](https://modelcontextprotocol.io/) server implementation for [DataHub](https://datahub.com/). ## What is DataHub? [DataHub](https://datahub.com/) is an open-source context platform that gives organizations a single pane of glass across their entire data supply chain. DataHub unifies data discovery, governance, and observability under one roof for every table, column, dashboard pipeline, document, and ML Model. With powerful features for data profiling, data quality monitoring, data lineage, data ownership, and data classification, DataHub brings together both technical and organizational context, allowing teams to find, create, use, and maintain trustworthy data. ## Use Cases The DataHub MCP Server enables AI agents to: - **Find trustworthy data**: Search across the entire data landscape using natural language to find the tables, columns, dashboards, & metrics that can answer your most mission-critical questions. Leverage trust signals like data popularity, quality, lineage, and query history to get it right, every time. - **Explore data lineage & plan for data changes**: Understand the impact of important data changes _before_ they impact your downstream users through rich data lineage at the asset & column level. - **Understand your business**: Navigate important organizational context like business glossaries, data domains, data products products, _and_ data assets. Understand how key metrics, business processes, and data relate to one another. - **Explain & generate SQL queries**: Generate accurate SQL queries to answer your most important questions with the help of critical context like data documentation, data lineage, and popular queries across the organization. ## Why DataHub MCP Server? With DataHub MCP Server, you can instantly give AI agents visibility into of your entire data ecosystem. Find and understand data stored in your databases, data lake, data warehouse, and BI visualization tools…