Install payload
Install payload is mixed and needs spot-checking.
67% (2/3)
Source-backed filter active — add entries to compare trust 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.
mcp/anomalyarmor-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.
mcp/teradata-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/great-expectations · 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
mcp/anomalyarmor-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/teradata-mcp-server · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/great-expectations · trust review
Freshness distribution
Median age 44 days; all 3 scanned entries are within 90 days.
Theme distribution
100% of this view shares the top theme. Leading themes: data-quality, alerts, analytics.
12 distinct themes across 3 scanned
Connect Claude to Teradata — list databases and tables, inspect DDL, run SQL queries, preview data, analyze column quality, and explore DBA diagnostics — with the official Teradata MCP server supporting optional ML tool expansion via the teradataml Python package.
AnomalyArmor armor-mcp stdio server with 52 consolidated data observability tools for alerts, freshness, schema drift, quality metrics, lineage, and AI recommendations.
Apache-2.0 GX Core Python library for data quality Expectations, validation definitions, checkpoints, Data Docs, metadata stores, and pipeline quality checks.