Mmcp.market

GoldenAnalysis MCP server

by benseverndev-oss·io.github.benseverndev-oss/goldenanalysis·v0.5.0
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Read-only cross-cutting analysis, metrics, and reporting across the Golden Suite.

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Established

133 stars16 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

GoldenAnalysis tools (4)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • analyze_frame

    Analyze a .parquet/.csv frame (or re-render a .json AnalysisReport) into a metrics report

  • detect_regressions

    Detect metric regressions vs a baseline over a run history

  • get_trend

    Trend a metric over a run history (.jsonl/.db ReportHistory)

  • list_analyzers

    List the discoverable GoldenAnalysis analyzers

Public scan report

scanner v0.1.9 · 2026-09-23 · same rubric, same numbers if you re-run it

no findings
  • Code scan36 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the GoldenAnalysis repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.benseverndev-oss/goldenmatch -->

Golden Suite

Your customer data lives in a CRM, a billing system, and three spreadsheets nobody owns. Some records are duplicates. Some are the same company spelled four different ways. Nobody can answer how many customers do we actually have, and every dashboard built on top inherits the doubt.

Splink-beating entity resolution, Arrow-native and Rust-fast with zero tuning, feeding a durable identity layer so messy records from every source become stable golden entities with whole-record, Customer-360 provenance.

Zero-config matching that beats expert-tuned Splink head-to-head on messy customer records, in an Arrow-native, Rust-authoritative engine verified from a laptop CSV to a 250M-row dedupe in 11.2 minutes. The identities it produces live in a transaction-native control plane carrying stable entityids, per-field provenance, merge/split, and a tamper-evident audit log, all one call away as a Customer 360. It even owns its primitives**: byte-identical, faster-than-rapidfuzz / jellyfish / FAISS Rust kernels, not rented dependencies.

Python · TypeScript · SQL, at 4-decimal parity · native in Postgres + DuckDB · edge WASM · 70+ MCP tools · beats hand-tuned Splink · 250M rows in 11.2 min

<!-- Headline package: goldenmatch -->

<!-- Quality / proof -->

<!-- Reach -->

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add goldenanalysis -- uvx goldenanalysis
Add to Cursor

GoldenAnalysis: common questions

Is GoldenAnalysis MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the GoldenAnalysis safety report
How do I install GoldenAnalysis?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does GoldenAnalysis need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is GoldenAnalysis maintained?
The last commit was 2 days ago (2026-09-23). The latest release is v0.5.0.

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