Install payload
Install payload is broadly covered in current results.
80% (4/5)
Browse the directory
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Showing 5 resources for "data-quality"
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Active
Privacy notes filter active — add entries to compare trust side by side.
Trust snapshot
5 results in this view
Claimed
0%(0/5)
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.
good
Most at-risk entries in this view
Adoption queue
Browse adoption queue · balanced
1/5 visible results are in hold tier and need mitigation before adoption.
ready 0caution 4hold 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%
Data Pipeline Engineering Agent - Agents
1 blockers: Metadata review
caution
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%
Notebook Analytics Workbench
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
collections/notebook-analytics-workbench · 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
1/5 results are low-confidence and need review before adoption.
high 0medium 4low 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
Data Pipeline Engineering Agent - Agents
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
agents/data-pipeline-engineering-agent · trust review
Notebook Analytics Workbench
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
collections/notebook-analytics-workbench · 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
Mostly fresh with a few aging entries
Median age 54 days; 4 fresh, 1 aging or stale of 5 scanned.
Oldest entries in this view
Theme distribution
Results center on data-quality
100% of this view shares the top theme. Leading themes: data-quality, analytics, data-engineering.
- data-quality100% (5)
- analytics40% (2)
- data-engineering40% (2)
- airflow20% (1)
- alerts20% (1)
- data-analysis20% (1)
- data-observability20% (1)
- data-warehouse20% (1)
21 distinct themes across 5 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 MCP Server for Claudeby AnomalyArmor · submitted by kiannidev
AnomalyArmor armor-mcp stdio server with 52 consolidated data observability tools for alerts, freshness, schema drift, quality metrics, lineage, and AI recommendations.
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.
A source-backed collection for reproducible data analysis and notebook work: Marimo notebooks, DuckDB analytical SQL, Polars DataFrames, Hugging Face Datasets loading, Great Expectations quality checks, and Streamlit sharing.
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