dlt
OfficialRelated Servers
Alternatives to dlt
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables agents to inspect dbt model semantics, retrieve contracts and lineage, and verify that edits do not change what models mean.Apache 2.0
- 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 gradedqualityAmaintenanceEnables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and auto-generate non-destructive schema documentation through natural language.-
- 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.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.Apache 2.0
- 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.-
TDQS
Scored across 8 tools
Each tool has a distinct purpose: display_schema for diagram, execute_sql_query for running SQL, get_load_table for load metadata, get_pipeline_local_state for state, get_table_schema for schema, get_table_schema_diff for version diff, list_pipelines for pipeline listing, list_tables for table listing. No overlap.
All tools follow a consistent verb_noun pattern with snake_case (e.g., display_schema, get_table_schema, list_pipelines). No mixing of conventions.
With 8 tools covering pipeline inspection, schema viewing, state retrieval, and query execution, the count is well-scoped for a data pipeline management server.
The tool set covers inspection and querying comprehensively (list, schema, state, load info, SQL execution), but lacks lifecycle operations like creating or deleting pipelines, which may be intentional for a read-only server.