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GoldenCheck

REMOTE · GOLDENCHECK-MCP-PRODUCTION.UP.RAILWAY.APP · 2 COMPONENTS · SCANNED AUG 3

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

+3 this week 68 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 1160 tokens (~61/item across 19 items; 19 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · goldencheck-mcp-production.up.railway.app

# add to Claude Code
claude mcp add --transport http benseverndev-oss-goldencheck https://goldencheck-mcp-production.up.railway.app/mcp/
# ~/.codex/config.toml
[mcp_servers.benseverndev-oss-goldencheck]
url = "https://goldencheck-mcp-production.up.railway.app/mcp/"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "benseverndev-oss-goldencheck": {
      "type": "remote",
      "url": "https://goldencheck-mcp-production.up.railway.app/mcp/",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add benseverndev-oss-goldencheck --url https://goldencheck-mcp-production.up.railway.app/mcp/ --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  benseverndev-oss-goldencheck:
    url: "https://goldencheck-mcp-production.up.railway.app/mcp/"
// mcp.json
{
  "mcpServers": {
    "benseverndev-oss-goldencheck": {
      "type": "http",
      "url": "https://goldencheck-mcp-production.up.railway.app/mcp/"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 −1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Jul 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 64

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://goldencheck-mcp-production.up.railway.app/mcp/

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.up.railway.app CN=YE1,O=Let's Encrypt,C=US 29 Jul 2026 27 Oct 2026 ECDSA 256 ECDSA-SHA384 6da79bb561da3efeb0e751ca21abd3999fe
SANs: *.up.railway.app, up.railway.app
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd
DNSSEC insecure

Validation of goldencheck-mcp-production.up.railway.app. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
railway.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://goldencheck-mcp-production.up.railway.app/mcp/ Verified 200
http (plaintext) http://goldencheck-mcp-production.up.railway.app/mcp/ HTTPS enforced 301 https://goldencheck-mcp-production.up.railway.app/mcp/
MCP tools — 19 exposed · ~1,160 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
analyze_data ~63

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.

NameTypeReqDescription
file_pathstringyesPath to the data file (CSV, Parquet, Excel)

No output schema declared.

No examples provided.

approve_reject ~80

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

NameTypeReqDescription
decisionstringyesDecision: 'pin' (approve) or 'dismiss' (reject)
item_idstringyesReview item ID to update
reasonstringOptional reason for the decision

No output schema declared.

No examples provided.

auto_configure ~79

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.

NameTypeReqDescription
constraintsobjectOptional constraints: {min_confidence, severity_filter, include_columns, exclude_columns}
file_pathstringyesPath to the data file

No output schema declared.

No examples provided.

compare_domains ~48

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

NameTypeReqDescription
file_pathstringyesPath to the data file

No output schema declared.

No examples provided.

explain_column ~57

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

NameTypeReqDescription
columnstringyesColumn name to explain
file_pathstringyesPath to the data file

No output schema declared.

No examples provided.

explain_finding ~80

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

NameTypeReqDescription
file_pathstringyesPath to the data file (needed for profile context)
findingobjectyesFinding dict with keys: severity, column, check, message, affected_rows, confidence, sample_values

No output schema declared.

No examples provided.

get_column_detail ~43

Get detailed profile and findings for a specific column.

NameTypeReqDescription
columnstringyesColumn name to inspect
file_pathstringyesPath to the data file

No output schema declared.

No examples provided.

get_domain_info ~50

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

NameTypeReqDescription
domainstringyesDomain pack name (e.g., healthcare, finance, ecommerce)

No output schema declared.

No examples provided.

health_score ~46

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

NameTypeReqDescription
file_pathstringyesPath to the data file

No output schema declared.

No examples provided.

install_domain ~57

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

NameTypeReqDescription
domainstringyesDomain pack name to install
output_pathstringOutput path (default: goldencheck_domain.yaml)

No output schema declared.

No examples provided.

list_checks ~22

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_domains ~35

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

pipeline_handoff ~76

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).

NameTypeReqDescription
file_pathstringyesPath to the data file
job_namestringyesJob name for the handoff record

No output schema declared.

No examples provided.

profile ~76

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.

NameTypeReqDescription
file_pathstringyesPath to the data file
sample_sizeintegerMax rows to sample (default 100000)

No output schema declared.

No examples provided.

review_queue ~43

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

NameTypeReqDescription
job_namestringyesJob name to filter review items

No output schema declared.

No examples provided.

review_stats ~40

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

NameTypeReqDescription
job_namestringyesJob name to get stats for

No output schema declared.

No examples provided.

scan ~127

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.

NameTypeReqDescription
file_pathstringyesPath to the data file (CSV, Parquet, Excel)
llm_boostbooleanEnable LLM enhancement (requires API key env var)
llm_providerstringLLM provider: 'anthropic' or 'openai'
sample_sizeintegerMax rows to sample (default 100000)

No output schema declared.

No examples provided.

suggest_fix ~69

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

NameTypeReqDescription
file_pathstringyesPath to the data file
modestringFix mode: 'safe' (default) or 'aggressive'

No output schema declared.

No examples provided.

validate ~69

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

NameTypeReqDescription
config_pathstringPath to goldencheck.yml (default: ./goldencheck.yml)
file_pathstringyesPath to the data file

No output schema declared.

No examples provided.