Elementary

- Browse model metadata and status— Inspect a model’s columns, tests, and execution history usingget_modelandget_models.
- Explore table and column-level lineage— Trace upstream and downstream dependencies across dbt and BI tools withget_lineage.
- Review open incidents and their context— List active incidents and drill into details viaget_incidentsandget_incident.
- Search the test catalog and add tests— Find available tests withsearch_testsand add a test to a column usingadd_test.
- Check test coverage for a model— Retrieve which columns are tested and which are not throughget_test_coverage.
- View historical execution runs— See past dbt run results and performance details withget_execution_history.

The Elementary MCP Server allows you to connect your Elementary environment to any client that supports MCP (Model Context Protocol). This lets AI agents, copilots, or natural language interfaces query and act on your data stack using live context.

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

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.

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

We're expanding support to include:

- Data health summaries
- Volume and freshness metrics
- Sync triggers
- Cloud test config updates

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