OpenMetadata
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
OpenMetadata MCP server provides AI assistants with governed access to enterprise data context, including technical metadata, data quality signals, lineage, business semantics, and organizational memory. It connects over 130 data sources into a unified metadata knowledge graph and exposes this context through MCP tools that enable semantic search, lineage traversal, glossary lookups, and memory retrieval. Unlike raw database connectors, it gives AI systems the business meaning, ownership, trust signals, policies, and tribal knowledge needed to reason safely over data assets. The server integrates with MCP-compatible clients and can be used alongside the data-ai-sdk Python package for building custom AI applications.
Key Features
Use Cases
- 01Enable AI assistants to discover and understand data assets through natural language queries with semantic search
- 02Ground AI agent responses in governed metadata including ownership, quality status, lineage, policies, and data contracts
- 03Preserve tribal knowledge by capturing agent conversations, incident remediation, and decisions as searchable memory
- 04Perform impact analysis by asking what downstream dashboards, pipelines, or models will break from schema changes
- 05Automate governance tasks like suggesting descriptions, assigning glossary terms, and identifying sensitive data classifications
- 06Build coding agents that understand schemas, business definitions, quality expectations, and lineage before generating SQL or dbt models
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OpenMetadata — FAQ
What is the OpenMetadata MCP server?+
OpenMetadata MCP server is a Model Context Protocol interface that gives AI assistants governed access to enterprise metadata, including data catalogs, lineage, quality signals, business glossaries, and organizational memory. It exposes metadata operations as tools that LLMs can call to understand data context beyond raw database schemas.
How do I install and connect the OpenMetadata MCP server?+
Install the data-ai-sdk package using pip or uvx, configure your MCP client to connect to your OpenMetadata instance at the /mcp endpoint, and provide authentication credentials. The server works with any MCP-compatible client including Claude Desktop and can be integrated into LangChain workflows.
Which AI clients work with OpenMetadata MCP?+
OpenMetadata MCP server works with any MCP-compatible client. It provides SDKs for Python, TypeScript, and Java that integrate with LangChain and OpenAI function calling, allowing custom AI applications to use the metadata context programmatically.
What are the prerequisites for using OpenMetadata MCP?+
You need a running OpenMetadata server instance (self-hosted or managed), authentication credentials (JWT token), and the data-ai-sdk package installed. The SDK version should match your OpenMetadata server version.
Is OpenMetadata free to use?+
Yes, OpenMetadata is open source and released under the Apache License 2.0. The core platform, MCP server, and AI SDKs are free. Collate offers managed enterprise capabilities, commercial support, and advanced AI features.
What makes OpenMetadata different from database connectors?+
OpenMetadata provides business context, not just technical schemas. It includes data quality status, ownership, lineage, business glossaries, policies, data contracts, and organizational memory—giving AI the governed context needed to understand what data means, who owns it, whether it's trustworthy, and how it's used.
How do I install OpenMetadata?+
Open the source repository on GitHub and follow its README. OpenMetadata is a mcp server — MCP Agents Market links you directly to the official repo.
Is OpenMetadata free?+
OpenMetadata is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.