Install payload
Install payload is mixed and needs spot-checking.
67% (2/3)
Select entries to compare install and trust signals side by side.
3 results in this view
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is mixed and needs spot-checking.
67% (2/3)
Most at-risk entries in this view
Adoption queue
1/3 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
agents/data-pipeline-engineering-agent · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/dbt-mcp-server · trust review · confidence 67%
2 blockers: Metadata review, Install payload
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/dbt-core · trust review · confidence 50%
Decision confidence
1/3 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
agents/data-pipeline-engineering-agent · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/dbt-mcp-server · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/dbt-core · trust review
Freshness distribution
Median age 54 days; 2 fresh, 1 aging or stale of 3 scanned.
Oldest entries in this view
Theme distribution
67% of this view shares the top theme. Leading themes: data-engineering, dbt, airflow.
12 distinct themes across 3 scanned
Official dbt Labs MCP server that gives AI agents context from dbt Core, dbt Fusion, dbt Platform, project metadata, SQL tools, lineage, Admin API, and dbt documentation search.
Apache-2.0 dbt engine for transforming warehouse data with SQL models, Jinja, YAML configs, tests, documentation, lineage, metadata, and build artifacts.
Modern data pipeline specialist focused on real-time streaming, ETL/ELT orchestration, data quality validation, and scalable data infrastructure with Apache Airflow, dbt, and cloud-native tools