DBT Core MCP Server
Related Servers
Alternatives to DBT Core MCP Server
No user-submitted related servers found.
Related Servers
- 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.-
- AlicenseNot gradedqualityDmaintenanceEnables the analysis of DBT manifests with automatic schema version detection and lineage tracking, allowing users to query model dependencies, access compiled code, and get detailed model information.1MIT
- FlicenseNot gradedqualityCmaintenanceEnables Claude to interact with a local DuckDB lakehouse by inspecting Gold table schemas, running read-only SQL queries, and checking dbt pipeline health.-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.1GPL 3.0
- FlicenseAqualityBmaintenanceAn 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-
- AlicenseBqualityDmaintenanceEnables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.11MIT
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.