Elementary
Expose data observability, lineage, test results & incidents to AI agents via MCP
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Overview
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:
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- Browse model metadata and status
Inspect a model’s columns, tests, and execution history using `get_model` and `get_models`.
- Explore table and column-level lineage
Trace upstream and downstream dependencies across dbt and BI tools with `get_lineage`.
- Review open incidents and their context
List active incidents and drill into details via `get_incidents` and `get_incident`.
- Search the test catalog and add tests
Find available tests with `search_tests` and add a test to a column using `add_test`.
- Check test coverage for a model
Retrieve which columns are tested and which are not through `get_test_coverage`.
- View historical execution runs
See past dbt run results and performance details with `get_execution_history`.
Tags
- data-analysis
- monitoring
- observability-incident
- analytics
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