Data quality pipeline orchestrator — chain validation, transformation, and deduplication
About
Data quality pipeline orchestrator — chain validation, transformation, and deduplication
Remote endpoints: streamable-http: https://goldenpipe-mcp-production.up.railway.app/mcp/
Security Report
GoldenPipe is a well-structured data pipeline orchestrator with appropriate security controls for its intended use case. The codebase demonstrates good input validation, proper error handling, and no evidence of malicious patterns. Permissions align with the developer tools category (network access for APIs, file I/O for data processing, environment variables for configuration). Minor code quality observations exist but do not constitute security vulnerabilities. Package verification found 1 issue (1 critical, 0 high severity).
7 files analyzed · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1"Run the full data quality pipeline on my customer file"
- 2"What stages are available in my pipeline?"
- 3"Explain what this pipeline config does"
- 4"Validate my pipeline configuration before running it"
- 5Tool: run_pipeline — Run a complete pipeline on a data file
- 6Tool: list_stages — List all discovered pipeline stages
- 7Tool: explain_pipeline — Get a natural-language explanation of a pipeline config
- 8Tool: validate_pipeline — Check pipeline wiring and stage compatibility
Documentation
View on GitHubFrom the project's GitHub README.
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
Reviews
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