mcp-data-profiler

MCP server that lets AI agents understand any local dataset (CSV, Parquet, JSON, Excel) without reading raw rows — types, nulls, ranges and data-quality flags at ~100x less context.

Installation

MCP client config (paste into mcp.json)

{
  "mcpServers": {
    "mcp-data-profiler": {
      "command": "npx",
      "args": [
        "mcp-data-profiler"
      ]
    }
  }
}

Agent install prompt

Copy and paste into Cursor / Claude / other agents to install this MCP for you

Please read this MCP repository and install it into my current environment:
https://github.com/Ridadata/mcp-data-profiler

Known working client config (can write into mcp.json):
{
  "mcpServers": {
    "mcp-data-profiler": {
      "command": "npx",
      "args": [
        "mcp-data-profiler"
      ]
    }
  }
}

Please: 1) check README for deps and env vars; 2) write config for my client; 3) if secrets are missing, tell me what to fill — do not invent values.

GitHub

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