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MIT
727,299 tools. Updated 2026-10-31 05:11
"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
- Retrieve the authenticated user's profile from ModelScope to personalize conversations or provide required context for subsequent API calls.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
Matching MCP Servers
- AlicenseBqualityAmaintenanceA MCP (Model Context Protocol) server for interacting with dbt.1625,771 PyPI614Apache 2.0
- AlicenseAqualityDmaintenanceAn MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.6MIT
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- Run data tests on models, sources, snapshots, and seeds, and execute unit tests on SQL models to ensure data quality and accuracy in your dbt projects.Apache 2.0
- Retrieve complete information about a specific tool, including all details about its input schema and purpose.MIT
- Suggests semantic models for dbt models from manifest.json and catalog.json, deriving keys, links, and value sets from dbt tests and contracts. Read-only, with optional model name filter.Apache 2.0
- Display all resources within a dbt project for easy visibility and management of data models, sources, and dependencies.Apache 2.0
- Retrieve the parent models of a specified dbt model to understand its dependencies and lineage within the dbt-mcp server.Apache 2.0
- 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
- Installs dbt packages defined in packages.yml to enable use of external macros in your dbt project.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
- Check which Wwise version, platform, and build is running. Confirm connectivity to the authoring tool.Apache 2.0
- Creates dbt project files (profiles.yml, dbt_project.yml, sources.yml) for a Fabric Data Warehouse, returning contents to set up dbt locally.MIT
- Validate data quality and integrity by running tests defined in a dbt project to ensure data transformations meet business rules before analysis.MIT