OpenMetadata docs cover discovery, lineage, contracts, and MCP for agents

The documentation index frames OpenMetadata as end-to-end documentation, discovery, and governance of data assets, with deployment options from sandbox/Docker to Kubernetes or bare metal. How-to areas include discovery, lineage, observability, insights, data contracts, governance, and connectors. Newer items call out Context Center knowledge pills for MCP assistants, Prefect and Omni connectors, an AI SDK with MCP tools across Python, TypeScript, Java, and CLI, an MCP server, dimensional validation, and data quality as code.

Data and AI teams get one metadata control plane that ties catalogs, quality, contracts, and agent tooling to the same asset records.

Discovery, contracts, and MCP access point at shared meaning: metadata and knowledge pills become the governed context schemas, pipelines, and agents read together.