Mmcp.market

GoldenMatch MCP server

by benseverndev-oss·io.github.benseverndev-oss/goldenmatch·v3.13.0
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Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.

B84/100grade B
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Safety scan
B84/100

full report

Adoption
Established

133 stars149 downloads/wk

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

GoldenMatch tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

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

1 medium
  • Code scan558 source files scanned20/25
  • Live reliabilityremote reachable in 207ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (unknown)9/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    goldenmatch-3.13.0/goldenmatch/core/embedding_ops.py: …field model selection, canonicalization eval (#1093). The operations layer for runnin…
Overall 84/100. 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 GoldenMatch 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 --transport http goldenmatch https://goldenmatch-mcp-production.up.railway.app/mcp/
Add to Cursor

GoldenMatch: common questions

Is GoldenMatch MCP server safe?
Mostly: it is graded B (84/100). Read the GoldenMatch safety report
How do I install GoldenMatch?
It runs remotely at goldenmatch-mcp-production.up.railway.app. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does GoldenMatch need an API key?
Yes. The endpoint refuses requests without credentials; the publisher's docs say how to get them.
Is GoldenMatch maintained?
The last commit was in the last day (2026-09-23). The latest release is v3.13.0.
Is GoldenMatch up?
100% of our last 20 checks got an answer. We check remote servers about four times a day.

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