LatLong Maps vs GoldenFlow

In-depth architectural comparison of the LatLong Maps and GoldenFlow MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

L

Choose LatLong Maps when:

• You need dedicated capabilities in the Workplace & Productivity domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore LatLong Maps Details

Choose GoldenFlow when:

• You need dedicated capabilities in the Workplace & Productivity domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore GoldenFlow Details

Feature & Specification Comparison

Specification	L LatLong Maps Workplace & Productivity	GoldenFlow Workplace & Productivity
Summary	Turn CSV or Excel data into styled choropleth and categorical maps of India from plain language.	Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.
Category & Scope	Workplace & Productivity	Workplace & Productivity

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "latlong-maps": {
      "url": "https://latlong.ai"
    }
  }
}

{
  "mcpServers": {
    "goldenflow": {
      "command": "npx",
      "args": [
        "-y",
        "goldenflow-js"
      ]
    }
  }
}

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