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dbt Conversation AI Local
by alwyndsouza
Conversational AI for dbt using Ollama and MCP to query, document, and analyze semantic models and metrics locally.
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Works in:claude
Exposes:ToolsResources
What it does
Connects an LLM to a local dbt project via the Model Context Protocol, allowing users to query semantic layers, run models, and explore metrics using natural language without data leaving the machine.
Tools
build: Execute dbt build to materialize models.compile: Compile dbt models to SQL.docs: Generate dbt documentation.list: List dbt models, seeds, and snapshots.parse: Parse the dbt project to generate the manifest.run: Run specific dbt models.test: Execute dbt data tests.show: Preview dbt model results.metricflow_list_metrics: Retrieve a list of available metrics.metricflow_list_dimensions: List dimensions for the semantic layer.metricflow_list_semantic_models: List defined semantic models.metricflow_query: Query the semantic layer for specific metrics and dimensions.
Installation
{
"mcpServers": {
"dbt-conversation-ai": {
"command": "uv",
"args": ["run", "dbt-mcp"]
}
}
}
Supported hosts
- Claude Desktop
Quick install
uv sync && uv run dbt-mcpInformation
- Pricing
- free
- Published
- 5/16/2026
- stars
