About GoldenPipe
GoldenPipe is a Python orchestrator for profiling data quality, transforming records, and deduplicating them into golden records. It is for data teams that want one adaptive pipeline, with decisions explained and privacy-preserving matching available.
Key features
- 01Profile data quality
- 02Transform and standardize records
- 03Deduplicate and match records
- 04Skip unnecessary transformations
- 05Route sensitive fields to privacy-preserving matching
- 06Explain pipeline decisions
Use cases
- 01Cleaning and deduplicating customer CSVs
- 02Running checks and matching without transformations
- 03Matching records that contain sensitive fields
MCP support
GoldenPipe offers a hosted MCP server and a locally runnable server. Its four tools list pipeline stages, validate wiring, run the full pipeline, and explain configurations.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://goldenpipe-mcp-production.up.railway.app/mcp/claude mcp add --transport http benseverndev-oss-goldenpipe https://goldenpipe-mcp-production.up.railway.app/mcp/{"mcpServers":{"benseverndev-oss-goldenpipe":{"type":"http","url":"https://goldenpipe-mcp-production.up.railway.app/mcp/"}}}Open in Cursor{"servers":{"benseverndev-oss-goldenpipe":{"type":"http","url":"https://goldenpipe-mcp-production.up.railway.app/mcp/"}}}Open in VS Code{"mcpServers":{"benseverndev-oss-goldenpipe":{"type":"http","url":"https://goldenpipe-mcp-production.up.railway.app/mcp/"}}}{"mcpServers":{"benseverndev-oss-goldenpipe":{"serverUrl":"https://goldenpipe-mcp-production.up.railway.app/mcp/"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEMoved. This repo has moved into the
benzsevern/goldenmatchmonorepo atpackages/python/goldenpipe/. This repo is archived; new development happens in the monorepo.
GoldenPipe
Golden Suite orchestrator -- Check quality, fix issues, deduplicate records. One command. Built by Ben Severn.
What It Does
Raw Data
| GoldenCheck -- profile & discover quality issues
| GoldenFlow -- fix issues, standardize, reshape
| GoldenMatch -- deduplicate, match, create golden records
v
Golden Records
GoldenPipe orchestrates the full pipeline with adaptive logic:
- Skips transformation if no quality issues found
- Routes to privacy-preserving matching if sensitive fields detected
- Reports reasoning for every decision
Install
pip install goldenpipe
Quick Start
import goldenpipe as gp
result = gp.run("customers.csv")
print(result.status) # "success"
print(result.check) # Quality findings
print(result.transform) # What was fixed
print(result.match) # Deduplicated clusters
print(result.reasoning) # Why each decision was made
CLI
goldenpipe run customers.csv # Full pipeline
goldenpipe run customers.csv --verbose # Show reasoning
goldenpipe run customers.csv --skip-flow # Check + Match only
goldenpipe run customers.csv --strategy pprl # Force privacy mode
goldenpipe run customers.csv -o golden.csv # Save golden records
Remote MCP Server
GoldenPipe is available as a hosted MCP server on Smithery — connect from any MCP client without installing anything.
Claude Desktop / Claude Code:
{
"mcpServers": {
"goldenpipe": {
"url": "https://goldenpipe-mcp-production.up.railway.app/mcp/"
}
}
}
Local server:
pip install goldenpipe[mcp]
goldenpipe mcp-serve
4 tools available: list pipeline stages, validate wiring, run full check-transform-match pipeline, explain configs.
Part of the Golden Suite
| Tool | Purpose | Install |
|---|---|---|
| GoldenCheck | Validate & profile data quality | pip install goldencheck |
| GoldenFlow | Transform & standardize data | pip install goldenflow |
| GoldenMatch | Deduplicate & match records | pip install goldenmatch |
| GoldenPipe | Orchestrate the full pipeline | pip install goldenpipe |
Author
License
MIT
Comments
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