Zero-config entity resolution that feeds a durable identity layer: resolve messy records from any source into stable...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 87/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if goldenmatch belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add goldenmatch -- npx goldenmatchRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove goldenmatchNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ goldenmatch ← registers here
Zero-config entity resolution that feeds a durable identity layer: resolve messy records from any source into stable golden entities — a Customer 360 with whole-record provenance, merge/split & audit. Splink-beating accuracy, Arrow-native/Rust, 100M rows in 9.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, MCP/REST.
Source: GitHub repository
Source check: July 21, 2026
Upstream commit: July 21, 2026
Repository state: Not marked archived
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