What is the key difference between Charted and Csvglow?

Charted belongs to the Data Visualization category with local stdio execution, while Csvglow belongs to the Data Visualization category with local stdio execution.

How do I install Charted or Csvglow in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Charted and Csvglow free or paid?

Charted operates under a Free / Open Source model (No auth required). Csvglow operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Charted lists 6 tools with 7 views and 11 GitHub stars. Csvglow lists 6 tools with 3 views and 13 GitHub stars.

Can I use both Charted and Csvglow together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Charted vs Csvglow

In-depth architectural comparison of the Charted and Csvglow 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.

At a Glance & Executive Verdict

Charted

Data Visualization · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Csvglow

Data Visualization · Local stdio

Quality: 49/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Charted if you need specialized Data Visualization tools running via a local process. Choose Csvglow if your workspace requires Data Visualization integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Charted when:

You need dedicated capabilities in the Data Visualization domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Supports 15 chart types, Accepts JSON and CSV data, Exports SVG, PNG, HTML, and data URLs.

Explore Charted Details

Choose Csvglow when:

You need dedicated capabilities in the Data Visualization domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: CSV, TSV, XLS, and XLSX input, Automatic column-type detection, Interactive ECharts visualizations.

Explore Csvglow Details

Feature & Specification Comparison

Specification	Charted marzukia Data Visualization	Csvglow Ratnaditya-J Data Visualization
Summary	Zero-dependency chart server that renders bar, line, pie, scatter, and more from JSON or CSV to SVG, HTML, PNG, or data URL. Built-in themes; PNG output renders inline in chat. Install via uvx --from charted[mcp] charted-mcp.	Generate beautiful self-contained HTML dashboards from CSV/Excel files with interactive ECharts visualizations, dark gradient theme, and sortable data tables.
Category & Scope

Tools & Capabilities Breakdown

Charted Tools (6)

Supports 15 chart types

Accepts JSON and CSV data

Exports SVG, PNG, HTML, and data URLs

Provides built-in themes

Handles multi-series and negative values

Runs over MCP stdio

Csvglow Tools (6)

CSV, TSV, XLS, and XLSX input

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).

Charted Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "marzukia-charted": {
      "command": "uvx",
      "args": [
        "--from",
        "charted[mcp]",
        "charted-mcp"
      ]
    }
  }
}

Csvglow Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Charted is categorized under Data Visualization and uses a local stdio subprocess. In contrast, Csvglow belongs to Data Visualization using local stdio subprocess. Select Charted when you need capabilities focused on data visualization and Csvglow when you require tools for data visualization.

More alternatives to Charted More alternatives to Csvglow Data Visualization category hub