Enterprise DNA
M MCP Servers Developer low

Ratnaditya-J/csvglow

by Various

Generate beautiful interactive HTML dashboards from CSV/Excel files

R

MCP

Ratnaditya-J/csvglow

Added 1 June 2026

#analytics #csv #dashboard #data #data-visualization #echarts #excel #mcp

Overview

csvglow is a Python tool that converts CSV or Excel files into interactive HTML dashboards. It reads tabular data and generates a standalone HTML file with charts and filters for exploration.

Best for

Best for
Developers who need a quick, no-code way to turn spreadsheet data into interactive HTML dashboards

Use cases

  • Quickly visualize a CSV dataset without writing dashboard code
  • Share interactive data reports with non-technical stakeholders
  • Prototype data insights from spreadsheets in a browser

How to use

Install

npx csvglow data.csv

Tools exposed

  • npx
  • pip

Tested with

Cursor, Windsurf

Example client config

{\n  "mcpServers": {\n    "csvglow": {\n      "command": "npx",\n      "args": ["-y", "csvglow", "--mcp"]\n    }\n  }\n}

Notes

csvglow is a Python tool that converts CSV or Excel files into interactive HTML dashboards. It reads tabular data and generates a standalone HTML file with charts and filters for exploration.

7 stars on GitHub. Last updated 2026-03-20. Licensed MIT.

Use cases

  • Quickly visualize a CSV dataset without writing dashboard code
  • Share interactive data reports with non-technical stakeholders
  • Prototype data insights from spreadsheets in a browser

Pros

  • Generates self-contained HTML files that require no server
  • Simple command-line or script usage for rapid results
  • Supports both CSV and Excel input formats

Cons

  • Very small community (7 GitHub stars) with limited support
  • Customization options are likely minimal
  • May not handle large datasets or complex visualizations well

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Generates self-contained HTML files that require no server
  • Simple command-line or script usage for rapid results
  • Supports both CSV and Excel input formats

Cons

  • Very small community (7 GitHub stars) with limited support
  • Customization options are likely minimal
  • May not handle large datasets or complex visualizations well
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks