# GoldenCheck MCP server

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-benzsevern-goldencheck
- Repository: https://github.com/benzsevern/goldencheck
- Website: https://benzsevern.github.io/goldencheck/

## Install
- Command: `uvx goldencheck`
- Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- Auth: Not captured

## Setup notes
- Package: Pypi goldencheck v1.2.0
- Remote endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/

## Tools
- scan - 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. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- validate - Validate a data file against pinned rules in goldencheck.yml. Returns validation findings (existence, required, unique, enum, range checks). Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- profile - 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. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- health_score - Get the health score (A-F, 0-100) for a data file. Quick summary of overall data quality. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- list_checks - List all available profiler checks and what they detect. No arguments needed. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- get_column_detail - Get detailed profile and findings for a specific column. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- list_domains - List all available domain packs (healthcare, finance, ecommerce, etc.). Domain packs provide specialized semantic type definitions for specific data domains. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- get_domain_info - Get detailed info about a specific domain pack — lists all semantic types, their name hints, and suppression rules. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- install_domain - Download a community domain pack from the goldencheck-types repository and save it for use in future scans. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- analyze_data - 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. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- auto_configure - 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. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- explain_finding - Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load a profile for context. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- explain_column - Get a natural-language health narrative for a specific column. Scans the file, profiles the column, and explains all findings. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- review_queue - List all pending review items for a given job. Returns items that need human decision (medium-confidence findings). Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- approve_reject - Approve (pin) or reject (dismiss) a review queue item. Decision must be 'pin' or 'dismiss'. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- compare_domains - Scan a file with every available domain pack (plus base/no-domain) and compare health scores. Recommends the best-fitting domain. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- suggest_fix - Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affected, before/after samples). Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- pipeline_handoff - 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). Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/
- review_stats - Get review queue statistics for a job — counts of pending, pinned, and dismissed items. Endpoint: https://goldencheck-mcp-production.up.railway.app/mcp/

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.benzsevern
- Version: 1.2.0
- Runtime: Pypi
- Transports: STDIO, HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 11, 2026
- Source: https://registry.modelcontextprotocol.io