Csvglow MCP Server

What is Csvglow?

Csvglow generates beautiful, interactive HTML dashboards from CSV or Excel files with a single command and zero configuration. It produces a self-contained HTML file that opens in the browser, featuring auto-detected charts, multi-column narrative insights, correlations, and a sortable data table. It also functions as an MCP (Model Context Protocol) tool for AI-compatible clients and as an OpenClaw skill.

How to use Csvglow?

Install via pip install csvglow or run directly with npx (npx csvglow data.csv). Use csvglow data.csv to generate a dashboard and open it in the browser. Additional options include -o for a custom output path and --no-open to prevent auto-opening. For MCP server mode, add a configuration entry to your client’s MCP config file (e.g., .cursor/mcp.json) with "command": "npx" and "args": ["-y", "csvglow", "--mcp"] (or "command": "csvglow" if installed via pip).

Key features of Csvglow

• Smart multi-column narrative analysis with contradiction detection
• Histograms for numeric columns with stats sidebar
• Bar charts for categorical columns
• Automatic categorical × numeric cross analysis with mean lines
• Time series line charts with area fill for date columns
• Correlation heatmap and scatter plots for highly correlated pairs

Use cases of Csvglow

• Instantly visualize any CSV or Excel file as a rich dashboard
• Use as an MCP tool so an AI assistant can generate dashboards from file paths
• Embed a self-contained, offline HTML report with charts and data table
• Quickly share interactive dashboards with stakeholders (no server needed)
• Analyze large datasets (100k+ rows) with smart sampling