GoldenFlow

by io.github.benseverndev-oss · data-analytics · mcp-server, official-registry

Easy setupBest for experimentalTrust score 15/100

Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.

Source: https://github.com/benseverndev-oss/goldenflow

Install

git clone https://github.com/benseverndev-oss/goldenflow

Use this forAI-extracted

  • →Standardize inconsistent data formats across CSV/JSON sources before pipeline ingestion
  • →Normalize messy customer records with missing fields, typos, and duplicate entries
  • →Transform and reshape API responses into consistent database schemas
  • →Clean and validate data quality in ETL workflows with 83 built-in transformation functions

Works with

Claude CodeClaude Desktop

Tags: mcp-server, official-registry

Source: mcp-registry

About data-analytics MCP servers and Claude skills

data-analytics MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

GoldenFlow is one of hundreds of data-analytics entries indexed on Skiln. Browse the full data-analytics category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install GoldenFlow?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support GoldenFlow?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is GoldenFlow free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.