csvglow

csvglow MCP server

Generate beautiful, interactive HTML dashboards from CSV/Excel files. One command, zero config.

csvglow sales.csv

Opens a self-contained HTML dashboard in your browser with auto-detected charts, smart multi-column insights, correlations, and a sortable data table. Dark gradient theme. Copy any chart to your clipboard.

Install

pip install csvglow

Or via npx (no install needed):

npx csvglow data.csv

Related MCP server: CSV MCP Server

Usage

csvglow data.csv                    # CSV to dashboard, opens in browser
csvglow report.xlsx                 # Excel works too
csvglow data.csv -o dashboard.html  # Custom output path
csvglow data.csv --no-open          # Don't auto-open browser

What it generates

Smart findings — multi-column narrative analysis that cross-references metrics to surface contradictions, efficiency gaps, and top/underperformers
Histograms for every numeric column with mean, median, std, quartiles, and outlier counts
Bar charts for categorical columns
Cross analysis — automatic categorical x numeric crosstabs with overall mean lines
Time series line charts with area fill for date columns
Correlation heatmap between numeric columns
Scatter plots for highly correlated pairs (|r| > 0.7)
Sortable, filterable data table (first 1000 rows)
Copy button on each chart for pasting into slides

Output is a single self-contained HTML file. No server, no CDN, works offline.

MCP Server

csvglow works as an MCP tool in any MCP-compatible client. Once configured, ask your AI assistant to generate a dashboard from a file path.

Pick your client and add csvglow to its MCP config file:

Client	Config file location
Cursor	`.cursor/mcp.json` in your project root
Windsurf	`~/.windsurf/mcp.json`

Add this to the config:

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

Uses npx so there's nothing extra to install.

If you already have csvglow installed via pip, use "command": "csvglow" with "args": ["--mcp"] instead.

OpenClaw Skill

csvglow is available as an OpenClaw skill. Any OpenClaw-compatible client can discover and use it automatically — no manual config needed.

Supported formats

.csv / .tsv (auto-detected delimiter)
.xls
.xlsx (first sheet only — multi-sheet support coming soon)

Changelog

0.1.0

Initial release
Auto-detection of column types (numeric, categorical, datetime, identifier)
Smart findings: contradiction detection, efficiency analysis, top/underperformer identification across multiple columns
Histograms with stats sidebar, bar charts, cross-analysis crosstabs, time series, correlation heatmap, scatter plots
Sortable/filterable data table
Copy-to-clipboard for all charts
MCP server mode (csvglow --mcp)
OpenClaw skill support
Smart sampling for large files (100k+ rows)