Goldenflow

Name: Goldenflow
Author: benseverndev-oss

by benseverndev-osscommunityv2.1.0

GoldenFlow is a data transformation toolkit that standardizes, reshapes, and normalizes messy data before it enters your pipeline. It works with various file formats and cloud storage, automatically detecting and fixing data issues.

From the registry: Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.

GitHub Repository Website

Install & configure

Prerequisites

required
Install goldenflow[mcp]
Install from PyPI with the MCP extra
```
$ pip install 'goldenflow[mcp]'
```
https://pypi.org/project/goldenflow/

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `goldenflow` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install goldenflow[mcp]** — Install from PyPI with the MCP extra Run: `pip install 'goldenflow[mcp]'` (https://pypi.org/project/goldenflow/)

Canonical MCP server config (stdio transport):
- command: `goldenflow`
- args: ["mcp-serve"]
- optional environment variables:
  - `OPENAI_API_KEY`: Optional OpenAI API key for --llm mode (example: `<your-openai-api-key>`)
  - `ANTHROPIC_API_KEY`: Optional Anthropic API key for --llm mode (example: `<your-anthropic-api-key>`)

Note: Also available as a hosted remote MCP at https://goldenflow-mcp-production.up.railway.app/mcp/.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Also available as a hosted remote MCP at https://goldenflow-mcp-production.up.railway.app/mcp/.