goldenmatch — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by benseverndev-oss · MCP Server · ★ 132

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is goldenmatch safe to install? View the security audit →

About goldenmatch

🟡 Golden Suite A polyglot data-quality and entity-resolution toolkit. Polished, opinionated, AI-native. GoldenCheck profiles → GoldenFlow standardizes → GoldenMatch deduplicates → GoldenAnalysis reports, all orchestrated by GoldenPipe. With InferMap for schema mapping, a Rust extension layer for Postgres / DuckDB, and optional WebAssembly acceleration behind the edge-safe TypeScript ports. ⚡ GoldenMatch scales from a CSV on your laptop to 100M+ rows on a Ray cluster — verified: 100,000,000 records deduped recall-complete (correct across any partitioning) in 9.2 min, with a 0.36 GB driver footprint. [![CI](https://github.com/benseverndev-oss/goldenmatch/actions/workflows/ci.yml/badge.s

data-cleaningdata-engineeringdata-matchingdata-qualitydeduplicationentity-resolutionfellegi-sunterfuzzy-matchingknowledge-graphllm

Quick Facts

Stars132
Forks15
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score62.2675180113599/100
Open Issues8
Last Updated2026-09-20
Created2026-03-16
Platformsmcp, python
Est. Tokens~20k

Compatible Skills

These tools work well together with goldenmatch for enhanced workflows:

  • meridian — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • dot-claude — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

goldenmatch alternative? Top 6 similar tools

Looking for a goldenmatch alternative? If you're comparing goldenmatch with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • paiml-mcp-agent-toolkit by paiml · ⭐ 165

    Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic

  • zettelkasten-mcp by entanglr · ⭐ 162

    A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allow

  • claude-emporium by Vvkmnn · ⭐ 84

    🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace

  • Overture by SixHq · ⭐ 630

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

  • dbt-mcp by dbt-labs · ⭐ 605

    A MCP (Model Context Protocol) server for interacting with dbt.

  • web-agent-protocol by OTA-Tech-AI · ⭐ 505

    🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

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Frequently Asked Questions

What is goldenmatch?

goldenmatch is Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats. It is categorized as a MCP Server with 132 GitHub stars.

What programming language is goldenmatch written in?

goldenmatch is primarily written in Python. It covers topics such as data-cleaning, data-engineering, data-matching.

How do I install or use goldenmatch?

You can find installation instructions and usage details in the goldenmatch GitHub repository at github.com/benseverndev-oss/goldenmatch. The project has 132 stars and 15 forks, indicating an active community.

What license does goldenmatch use?

goldenmatch is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to goldenmatch?

The top alternatives to goldenmatch on Agent Skills Hub include paiml-mcp-agent-toolkit, zettelkasten-mcp, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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