OpenMetadata
Integrates with OpenMetadata to enable querying and manipulating metadata across data assets for governance, cataloging, and linea
This MCP server implementation provides a bridge to OpenMetadata, enabling AI assistants to interact with metadata management systems. Developed by Gyeongmo Yang, it offers tools for querying and manipulating metadata across various data assets. The server is built using Python and integrates with the Model Context Protocol, leveraging libraries like httpx and starlette for efficient request handling. It focuses on secure API interactions and robust error handling, making it suitable for data governance, cataloging, and lineage tracking use cases. The implementation is designed for easy setup and configuration, supporting both development and production environments with features like Server-Sent Events (SSE) for real-time updates.
Source
Repository: https://github.com/yangkyeongmo/mcp-server-openmetadata
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