Install payload
Install payload is sparse; verify before rollout decisions.
43% (3/7)
Source-backed filter active — add entries to compare trust side by side.
7 results in this view
1 trust signal differs in this sample: Submitter
Signals differ on 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 sparse; verify before rollout decisions.
43% (3/7)
Adoption queue
4/7 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.
mcp/dbt-mcp-server · 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.
skills/microsoft-fabric-skills · 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/motherduck-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/duckdb · trust review · confidence 50%
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/great-expectations · trust review · confidence 50%
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/polars · trust review · confidence 50%
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/prefect · trust review · confidence 50%
Decision confidence
4/7 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/dbt-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/microsoft-fabric-skills · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/motherduck-mcp-server · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/duckdb · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/great-expectations · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/polars · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/prefect · trust review
Freshness distribution
Median age 54 days; all 7 scanned entries are within 90 days.
Theme distribution
100% of this view shares the top theme. Leading themes: data-engineering, analytics, sql.
22 distinct themes across 7 scanned
Microsoft-maintained Fabric skill bundles for AI coding assistants working with Warehouses, Lakehouses, Spark, Power BI semantic models, Eventhouse/KQL, Eventstreams, Dataflows Gen2, migrations, and medallion architectures.
Connect Claude to MotherDuck and DuckDB — run SQL queries and explore databases, tables, and columns — with the official MotherDuck Model Context Protocol server.
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.
MIT-licensed embedded analytical SQL database for local OLAP workloads, data files, notebooks, Python and R clients, extensions, and single-file analytics workflows.
Apache-2.0 GX Core Python library for data quality Expectations, validation definitions, checkpoints, Data Docs, metadata stores, and pipeline quality checks.
MIT-licensed DataFrame query engine written in Rust for Python, Rust, Node.js, R, and SQL workflows with lazy execution, streaming, Arrow integration, and file, database, and cloud I/O.
Apache-2.0 Python workflow orchestration framework for resilient data pipelines with flows, tasks, deployments, schedules, retries, caching, workers, work pools, and observability.