AI Agent for DataHub MCP Server
Integrate FlowHunt with DataHub’s MCP Server to enable advanced metadata search, lineage graph traversal, and SQL query listing directly in your workflows. Leverage AI to efficiently fetch and analyze metadata across all entity types, transforming your data discovery and governance processes.
Unified Metadata Search & Filtering
Empower your team to search across all DataHub entities and apply granular filters using natural language. Instantly retrieve relevant metadata with AI-powered precision to supercharge your data operations.
- Comprehensive Entity Search.
- Instantly search all entity types, including datasets, pipelines, charts, and more.
- Advanced Filtering.
- Apply arbitrary filters to refine search results and surface exactly what you need.
- Natural Language Processing.
- Use AI to understand and process complex search queries in plain language.
- Real-Time Metadata Insights.
- Surface the most relevant metadata in real time for faster decision making.
Lineage Graph Traversal & Analysis
Visualize and traverse upstream or downstream data lineage within DataHub. Instantly map dependencies, identify data sources, and uncover the impact of changes throughout your data ecosystem.
- Upstream & Downstream Traversal.
- Easily explore both upstream and downstream relationships in your data lineage.
- Lineage Mapping.
- Visualize complex data flows and dependencies across your entire data ecosystem.
- Impact Analysis.
- Quickly assess the effects of changes by analyzing lineage paths and dependencies.
Metadata Fetching & SQL Query Listing
Access detailed metadata and list all SQL queries associated with any DataHub dataset. Leverage AI for faster, more accurate metadata extraction and insights.
- Detailed Metadata Extraction.
- Fetch comprehensive metadata for any entity in your DataHub instance.
- SQL Query Listing.
- List all SQL queries linked to any dataset for quick auditing and analysis.
- AI-Powered Data Insights.
- Accelerate your metadata analysis and governance with intelligent automation.
MCP INTEGRATION
Available DataHub MCP Integration Tools
The following tools are available as part of the DataHub MCP integration:
- search_entities
Search across all entity types in DataHub using arbitrary filters to find relevant metadata.
- get_entity_metadata
Fetch complete metadata for any entity by its identifier, including fields and relationships.
- traverse_lineage
Traverse the lineage graph for entities, exploring upstream and downstream relationships.
- list_sql_queries
List all SQL queries associated with a given dataset to aid in data analysis and auditing.
Connect Your DataHub MCP Server with FlowHunt AI
Connect your DataHub MCP Server to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is DataHub
DataHub, developed by Acryl Data, is a modern open-source data catalog and metadata platform designed to help organizations discover, understand, and govern their data assets. DataHub enables data teams to unlock data intelligence by providing comprehensive visibility into data lineage, usage, and quality across various data sources. It supports automated metadata ingestion, search and discovery, data governance, and collaboration among data teams. With robust integration capabilities, DataHub empowers companies to manage their data ecosystem efficiently, ensuring compliance, trust, and accessibility throughout the data lifecycle.
Capabilities
What we can do with DataHub
DataHub offers a suite of features that facilitate data management, discovery, and governance across enterprise environments. Here’s what users can achieve with DataHub:
- Automated Metadata Ingestion
- Seamlessly collect metadata from a wide range of data sources and keep it up to date.
- Powerful Data Discovery
- Enable users to search and explore datasets, dashboards, and pipelines quickly.
- Data Lineage Visualization
- Trace data flow and understand dependencies between different data assets.
- Access Management & Governance
- Define and enforce compliance policies with granular access controls and auditing.
- Collaboration & Data Documentation
- Empower teams to annotate, discuss, and curate data assets collaboratively.
How AI Agents Benefit from DataHub
AI agents and automation systems gain significant advantages from integrating with DataHub. By utilizing DataHub’s unified metadata repository, AI agents can efficiently locate, evaluate, and utilize high-quality, well-governed data assets. This enables advanced tasks such as automated data quality monitoring, intelligent data pipeline orchestration, and context-aware data enrichment. Furthermore, DataHub’s APIs allow AI agents to programmatically interact with cataloged data, accelerating workflows and improving decision-making with trusted, up-to-date information.