What is MCP?
MCP (Model Context Protocol) is an open protocol introduced by Anthropic. It defines a way for AI systems to retrieve context and trigger actions from external tools in a structured way. The Elementary MCP Server exposes an interface to query key parts of your data environment — including:- Models
- Tests
- Incidents
- Test coverage
- Lineage (dbt + BI), including column-level
- Incidents
- Asking “What’s the status of the model feeding the revenue dashboard?”
- Automatically creating a freshness test for a column
- Browsing lineage to find upstream causes of issues
- Triggering updates or syncs without opening a UI
How it works
The MCP Server runs as a remote service and is exposed via a single authenticated endpoint. It is compatible with any MCP-enabled client, such as Claude, Cursor IDE and Custom agents and LLM copilots.Supported operations
You can use the Elementary MCP Server for:- Full asset details - Metadata, column definitions, and test coverage
- Lineage - Explore table + column-level lineage across dbt and BI tools
- Incidents - View open incidents and their context
- Tests - Browse and add tests using the test catalog
- Models - Inspect model metadata and status
- Execution History - View historical runs and performance details
Coming soon
We’re expanding support to include:- Data health summaries
- Volume and freshness metrics
- Sync triggers
- Cloud test config updates