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Build trusted data context and business semantics for teams and AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenMetadata" yet — see the docs or source repo.
Using data assets in OpenMetadata, generate unified business definitions, field descriptions, and tag suggestions for sales and user behavior tables, and identify naming inconsistencies.
A structured semantic review including business definitions, field explanations, tag suggestions, and a list of naming standard issues.
Extract lineage, owners, and business terms related to orders, customers, and revenue from OpenMetadata, and turn them into a context summary for an AI assistant.
An AI-ready context summary describing key table relationships, ownership information, and core business terms.
If the customer_status field in the customer master table will change, use OpenMetadata lineage to analyze impacted dashboards, downstream tables, and related teams.
An impact analysis report listing affected assets, dependency paths, and recommended communication and validation actions.
Connect to OpenMetadata to query metadata, lineage, data quality, and contracts.
Manage contextual data in Markdown with metadata for save, search, and retrieval.
Connect AI agents to OSDU for search, storage, schema, and dataset operations.
Query open data platforms in natural language with a plugin-based MCP server.
Read, search, and update codebase documentation context through MCP.
Build, run, and manage workflows with an open-source agent operating system.