GoldenPipe
One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.
What can you do with GoldenPipe?
- Skips transformation if no quality issues found
- Routes to privacy-preserving matching if sensitive fields detected
- Reports reasoning for every decision
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http goldenpipe 'https://goldenpipe-mcp-production.up.railway.app/mcp/'
{
"mcpServers": {
"goldenpipe": {
"type": "http",
"url": "https://goldenpipe-mcp-production.up.railway.app/mcp/"
}
}
}
goldenpipeclaude mcp add goldenpipe -- uvx goldenpipe==1.5.0
{
"mcpServers": {
"goldenpipe": {
"command": "uvx",
"args": [
"goldenpipe==1.5.0"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
Moved. 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
Frequently asked questions
What is GoldenPipe?
One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.
How do I install GoldenPipe?
It runs as a remote server. In Claude Code: claude mcp add --transport http goldenpipe 'https://goldenpipe-mcp-production.up.railway.app/mcp/'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does GoldenPipe need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is GoldenPipe open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains GoldenPipe?
It is published by benseverndev-oss. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.