DBT Core MCP Server
Related Servers
Alternatives to DBT Core MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to audit dbt projects for documentation, test coverage, and naming health, profile warehouse data, detect schema drift against the manifest, and non-destructively generate or update schema.yml documentation and tests through natural language.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and safely generate or update dbt documentation and tests through natural language.-
- FlicenseNot gradedqualityNot gradedmaintenanceProvides intelligent dbt assistance through Claude Code integration, enabling users to perform dbt CLI operations, explore project metadata, and execute SQL queries against DuckDB warehouse with context-aware support.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and safely generate or update model documentation through natural language.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and auto-generate or update model documentation and tests through natural language.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to audit dbt project health, profile data, detect schema drift, suggest tests, and safely generate documentation through natural language.-
TDQS
Scored across 14 tools
Each tool has a clearly distinct purpose. Overlaps like get_lineage vs get_column_lineage and build_models vs run_models are complementary, not ambiguous. Descriptions are detailed and steer the agent to the correct tool.
All tool names follow a consistent snake_case verb_noun pattern (e.g., analyze_impact, get_lineage, run_models). No mixing of styles or unconventional naming.
14 tools is well-scoped for a dbt project management server. It covers all major operations without being excessive. Each tool has a clear justification.
The tool set covers the full lifecycle: project info, resource listing, building (models, seeds, snapshots, tests), dependency analysis (lineage, impact), database querying, and package installation. No significant gaps for common dbt workflows.