Summary
This orchestrates the three-step Golden Suite pipeline: quality profiling with GoldenCheck, transformation with GoldenFlow, and deduplication with GoldenMatch. The MCP server exposes four tools to list stages, validate wiring, run the full check-transform-match flow, and explain configurations. It makes adaptive routing decisions based on what it finds, skipping transformation if data is clean or switching to privacy-preserving matching when sensitive fields are detected. Reach for this when you need end-to-end data quality and deduplication in a single command rather than chaining the individual Golden Suite tools manually. The repo has moved to the goldenmatch monorepo, but the hosted MCP endpoint on Railway remains active.
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Tools
Public tool metadata for what this MCP can expose to an agent.
4 tools
list_stagesList all discovered pipeline stages
List all discovered pipeline stages
No parameter schema in public metadata yet.
validate_pipelineValidate pipeline wiring2 params
Validate pipeline wiring
Parameters* required
stagesarraypipelinestringrun_pipelineRun a pipeline on a file2 params
Run a pipeline on a file
Parameters* required
sourcestringconfig_pathstringexplain_pipelineExplain what a pipeline config does1 params
Explain what a pipeline config does
Parameters* required
config_pathstringMoved. 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
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Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
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