by benseverndev-oss · MCP Server · ★ 120
🟡 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.
| Stars | 120 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.2675180113599/100 |
| Open Issues | 41 |
| Last Updated | 2026-07-08 |
| Created | 2026-03-16 |
| Platforms | mcp, python |
| Est. Tokens | ~20k |
These tools work well together with goldenmatch for enhanced workflows:
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goldenmatch is Zero-config entity resolution & record linkage. The zero-tuning Fellegi-Sunter path beats hand-tuned Splink head-to-head and scales from a CSV to a verified 100M-row dedupe in 9.2 min. Fuzzy/exact/pro. It is categorized as a MCP Server with 120 GitHub stars.
goldenmatch is primarily written in Python. It covers topics such as data-cleaning, data-engineering, data-matching.
You can find installation instructions and usage details in the goldenmatch GitHub repository at github.com/benseverndev-oss/goldenmatch. The project has 120 stars and 13 forks, indicating an active community.
goldenmatch is released under the MIT license, making it free to use and modify according to the license terms.