Skip to main content
Glama
472,816 tools. Updated 2026-08-24 01:29

"Information about dbt (Data Build Tool or other meanings)" matching MCP tools:

  • Retrieve a comprehensive list of available metrics from the dbt Semantic Layer. Use it as the initial step to identify relevant metrics for answering data or business-related queries.
    Apache 2.0
  • Execute SQL queries to debug and inspect data in dbt projects, with an optional limit parameter to control result size.
    Apache 2.0
  • Retrieve detailed information about a specific dbt model, including compiled SQL, descriptions, column names, and types, by providing the model name.
    Apache 2.0
  • Parse and validate dbt project contents for Jinja or YAML syntax errors, generating a detailed artifact with timing insights for large project analysis.
    Apache 2.0
  • Retrieve complete information about a specific tool, including all details about its input schema and purpose.
    MIT
  • Retrieve the parent models of a specified dbt model to understand its dependencies and lineage within the dbt-mcp server.
    Apache 2.0

Matching MCP Servers

  • F
    license
    A
    quality
    B
    maintenance
    An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.
    4

Matching MCP Connectors

  • Run seeds, models, snapshots, and tests in correct dependency order using dbt build, simplifying data pipeline management.
    MIT
  • Analyze downstream dependencies affected by changes to any dbt resource, with auto-detection and actionable recommendations for running impacted models, tests, and other resources.
    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
  • Generate SQL code for dbt models without executing it to validate syntax, preview transformations, or inspect how dbt interprets models before database execution.
    MIT
  • Validate dbt project setup to troubleshoot configuration issues, check database connectivity, and verify dependencies before running models or tests.
    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
  • Validate data quality and integrity by running tests defined in a dbt project to ensure data transformations meet business rules before analysis.
    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
  • Install or update external package dependencies for a dbt project to ensure required modules, macros, and models are available before execution.
    MIT
  • Execute a comprehensive dbt build process to run seeds, snapshots, models, and tests in correct order for complete project deployment or validation.
    MIT
  • Retrieve in-depth details about a traditional festival, including origins, customs, symbolic meanings, foods, and activities, to learn cultural traditions or plan authentic celebrations.
    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