Retrieve detailed information about a specific dbt model, including compiled SQL, descriptions, column names, and types, by providing the model name.
217,733 tools. Last updated 2026-06-20 20:42
"Information about dbt (Data Build Tool or other meanings)" matching MCP tools:
- Retrieve complete information about a specific tool, including all details about its input schema and purpose.MIT
- Retrieve a list of reliability codes and their meanings to assess data quality.MIT
- Run seeds, models, snapshots, and tests in correct dependency order using dbt build, simplifying data pipeline management.MIT
- Retrieve detailed information about any dbt resource including models, sources, seeds, snapshots, and tests. Supports auto-detection or type filtering, and returns database schema and compiled SQL.MIT
- List all resources in a dbt project or filter by type to view models, sources, seeds, snapshots, tests, analyses, or macros. Discover installed dbt packages by listing macros.MIT
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- Generate SQL code for dbt models without executing it to validate syntax, preview transformations, or inspect how dbt interprets models before database execution.MIT
- Install or update external package dependencies for a dbt project to ensure required modules, macros, and models are available before execution.MIT
- Validate data quality and integrity by running tests defined in a dbt project to ensure data transformations meet business rules before analysis.MIT
- Execute a comprehensive dbt build process to run seeds, snapshots, models, and tests in correct order for complete project deployment or validation.MIT
- List available models, tests, sources, and other resources within a dbt project to understand project structure, identify dependencies, and select resources for operations.MIT
- Retrieve detailed information about a traditional festival including its history, customs, foods, and celebrations. Ideal for learning cultural traditions or planning authentic festivities.MIT
- Execute dbt models to transform data and build analytical tables in your data warehouse, refreshing data or implementing new transformations in your project.MIT
- Group dbt failed tests and DQ check failures by dataset, displaying the most recent failing rows, to replace three separate tool calls.MIT
- Find dbt, quality, or meta tools by describing what you need in plain language, then get the right tool for your task.MIT
- Retrieve detailed information about a TestFlight build including app, beta testers, and build beta detail resources. Use this to inspect build status and metadata.MIT
- Retrieve comprehensive configuration details for a Lightdash project, including warehouse connection, dbt integration, and metadata. Use this to access project settings and infrastructure information.MIT
- Retrieve detailed information and logs for a specific image build by providing the environment ID and build ID.MIT
- Retrieve detailed build and runtime information about the DollhouseMCP server to understand its configuration and operational status.
- Retrieve information about your dbt project, including running diagnostics to validate the environment and test connections.MIT