GoldenCheck

Server Details

Data validation that discovers rules from your data — scan, profile, health score, domain packs

Status: Healthy
Last Tested: 2026-03-30 11:30
Transport: Streamable HTTP
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Available Tools

19 tools

analyze_dataInspect

Analyze a data file to detect its domain, profile columns, and recommend a scanning strategy. Returns domain detection, column count, row count, strategy decisions, and alternative approaches.

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file (CSV, Parquet, Excel)

approve_rejectInspect

Approve (pin) or reject (dismiss) a review queue item. Decision must be 'pin' or 'dismiss'.

ParametersJSON Schema

Name	Required	Description
`reason`	No	Optional reason for the decision
`item_id`	Yes	Review item ID to update
`decision`	Yes	Decision: 'pin' (approve) or 'dismiss' (reject)

auto_configureInspect

Scan a data file, triage findings by confidence, and generate goldencheck.yml content from the pinned findings. Optionally accepts constraints to filter or adjust the generated config.

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file
`constraints`	No	Optional constraints: {min_confidence, severity_filter, include_columns, exclude_columns}

compare_domainsInspect

Scan a file with every available domain pack (plus base/no-domain) and compare health scores. Recommends the best-fitting domain.

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file

explain_columnInspect

Get a natural-language health narrative for a specific column. Scans the file, profiles the column, and explains all findings.

ParametersJSON Schema

Name	Required	Description	Default
`column`	Yes	Column name to explain
`file_path`	Yes	Path to the data file

explain_findingInspect

Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load a profile for context.

ParametersJSON Schema

Name	Required	Description	Default
`finding`	Yes	Finding dict with keys: severity, column, check, message, affected_rows, confidence, sample_values
`file_path`	Yes	Path to the data file (needed for profile context)

get_column_detailInspect

Get detailed profile and findings for a specific column.

ParametersJSON Schema

Name	Required	Description	Default
`column`	Yes	Column name to inspect
`file_path`	Yes	Path to the data file

get_domain_infoInspect

Get detailed info about a specific domain pack — lists all semantic types, their name hints, and suppression rules.

ParametersJSON Schema

Name	Required	Description	Default
`domain`	Yes	Domain pack name (e.g., healthcare, finance, ecommerce)

health_scoreInspect

Get the health score (A-F, 0-100) for a data file. Quick summary of overall data quality.

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file

install_domainInspect

Download a community domain pack from the goldencheck-types repository and save it for use in future scans.

ParametersJSON Schema

Name	Required	Description	Default
`domain`	Yes	Domain pack name to install
`output_path`	No	Output path (default: goldencheck_domain.yaml)	goldencheck_domain.yaml

list_checksInspect

List all available profiler checks and what they detect. No arguments needed.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

list_domainsInspect

List all available domain packs (healthcare, finance, ecommerce, etc.). Domain packs provide specialized semantic type definitions for specific data domains.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

pipeline_handoffInspect

Generate a structured quality attestation JSON for a data file. Includes health score, findings summary, pinned rules, and attestation status (PASS, PASS_WITH_WARNINGS, REVIEW_REQUIRED, FAIL).

ParametersJSON Schema

Name	Required	Description	Default
`job_name`	Yes	Job name for the handoff record
`file_path`	Yes	Path to the data file

profileInspect

Profile a data file and return column-level statistics: type, null%, unique%, min/max, top values, detected formats. Also returns a health score (A-F) based on finding severity.

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file
`sample_size`	No	Max rows to sample (default 100000)

review_queueInspect

List all pending review items for a given job. Returns items that need human decision (medium-confidence findings).

ParametersJSON Schema

Name	Required	Description	Default
`job_name`	Yes	Job name to filter review items

review_statsInspect

Get review queue statistics for a job — counts of pending, pinned, and dismissed items.

ParametersJSON Schema

Name	Required	Description	Default
`job_name`	Yes	Job name to get stats for

scanInspect

Scan a data file (CSV, Parquet, Excel) for data quality issues. Returns findings with severity, confidence, affected rows, and sample values. No configuration needed — rules are discovered from the data.

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file (CSV, Parquet, Excel)
`llm_boost`	No	Enable LLM enhancement (requires API key env var)
`sample_size`	No	Max rows to sample (default 100000)
`llm_provider`	No	LLM provider: 'anthropic' or 'openai'	anthropic

suggest_fixInspect

Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affected, before/after samples).

ParametersJSON Schema

Name	Required	Description	Default
`mode`	No	Fix mode: 'safe' (default) or 'aggressive'	safe
`file_path`	Yes	Path to the data file

validateInspect

Validate a data file against pinned rules in goldencheck.yml. Returns validation findings (existence, required, unique, enum, range checks).

ParametersJSON Schema

Name	Required	Description	Default
`file_path`	Yes	Path to the data file
`config_path`	No	Path to goldencheck.yml (default: ./goldencheck.yml)	goldencheck.yml

Verify Ownership

Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:

{
  "$schema": "https://glama.ai/mcp/schemas/connector.json",
  "maintainers": [
    {
      "email": "your-email@example.com"
    }
  ]
}

The email address must match the email associated with your Glama account. Once verified, the connector will appear as claimed by you.

Server Details

Available Tools

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