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Showing 3 resources for "data-quality"
Saved
Active

Source-backed filter active — add entries to compare trust side by side.

Trust snapshot

3 results in this view

Claimed
0%(0/3)

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

2 rollout risk signals in current results

Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.

3 scanned

Install payload

Install payload is mixed and needs spot-checking.

watch

67% (2/3)

Adoption queue

Browse adoption queue · balanced

1/3 visible results are in hold tier and need mitigation before adoption.

ready 0caution 2hold 1

AnomalyArmor MCP Server for Claude

1 blockers: Metadata review

caution

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%

Teradata MCP Server for Claude

1 blockers: Metadata review

caution

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%

Great Expectations

2 blockers: Metadata review, Install payload

hold

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

Decision confidence scan · balanced

1/3 results are low-confidence and need review before adoption.

high 0medium 2low 1

AnomalyArmor MCP Server for Claude

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/anomalyarmor-mcp-server · trust review

Teradata MCP Server for Claude

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/teradata-mcp-server · trust review

Great Expectations

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/great-expectations · trust review

Freshness distribution

Current results are broadly fresh

Median age 44 days; all 3 scanned entries are within 90 days.

median 44d

Aging

91–180 days

0%

0 entries

Stale

> 180 days

0%

0 entries

Theme distribution

Results center on data-quality

100% of this view shares the top theme. Leading themes: data-quality, alerts, analytics.

Focused

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.

Great Expectations logo
Great Expectationsby Great Expectations · submitted by oktofeesh1

Apache-2.0 GX Core Python library for data quality Expectations, validation definitions, checkpoints, Data Docs, metadata stores, and pipeline quality checks.