Validate, transform, and deduplicate data in a single pipeline using GoldenCheck, Flow, and Match. Built for developers who need to clean and standardize messy datasets without writing custom scripts.
io.github.benzsevern/goldenpipe
https://goldenpipe-mcp-production.up.railway.app/mcp/
HTTP
No auth required
How models use it and what it is built for.
Validate, transform, and deduplicate data in a single pipeline using GoldenCheck, Flow, and Match. Built for developers who need to clean and standardize messy datasets without writing custom scripts.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for GoldenPipe.
Paste any of these into Agent Studio after connecting GoldenPipe.
Common questions about connecting and running GoldenPipe.
What does GoldenCheck do?
GoldenCheck is the validation component of the pipeline. It checks data against rules you define and flags records that fail validation before they move to transformation or deduplication steps.
Can I chain multiple operations together?
Yes. GoldenPipe is designed to chain GoldenCheck (validation), Flow (transformation), and Match (deduplication) in a single command, so data flows through all three stages in one pass.
How do I install and run GoldenPipe?
Install via `uvx goldenpipe@1.0.6`. The MCP server runs on HTTP and is hosted at https://goldenpipe-mcp-production.up.railway.app/mcp/, so you can connect it to your chat or IDE without local setup.
What data formats does GoldenPipe accept?
The registry metadata does not specify supported input formats. Check the hosted endpoint documentation or ask the server directly about CSV, JSON, or other format support.
Is there a cost to use GoldenPipe?
Pricing information is not provided in the available metadata. The server is hosted on Railway; check the project repository or endpoint for billing details.
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