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GoldenFlow

MCP server · by benseverndev-oss

Data & Analytics
PythonStreamable HTTP
v2.2.0

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

Install

Run one of the commands below, then add the client config underneath.

Python
uvx goldenflow
Streamable HTTP
https://goldenflow-mcp-production.up.railway.app/mcp/

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers
{
  "mcpServers": {
    "goldenflow": {
      "command": "uvx",
      "args": [
        "goldenflow"
      ]
    }
  }
}

About this server

GoldenFlow is listed in the Data & Analytics category of the MCPNav directory. It is distributed as Python, Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the GoldenFlow MCP server?

GoldenFlow is an MCP server by benseverndev-oss. Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.

How do I install GoldenFlow?

Install it with: uvx goldenflow. Then add the JSON config to your client's MCP settings and restart the client.

Is GoldenFlow free to use?

The MCP server itself is free to install. The source is public on https://github.com/benseverndev-oss/goldenflow. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support GoldenFlow?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.