mcpField
C
Chartone

Chartone

Local
github.com/zhugejunData & Analytics0Updated 25w ago
Repository

About Chartone

ChartOne is an MCP server that lets AI agents render themed charts from data and return both an inline image and a persistent hosted URL. It offers direct rendering and chart suggestions based on data and intent.

Key features

  1. 01Render charts from data and a chosen type
  2. 02Suggest chart type and theme from intent
  3. 03Return an inline image
  4. 04Provide a persistent hosted URL

Use cases

  1. 01Add charts to emails or Slack messages
  2. 02Include rendered charts in PDFs
  3. 03Embed chart URLs in dashboards

MCP support

The MCP server exposes `render_chart` and `suggest_chart`. It can run locally over stdio or be called through a hosted endpoint.

#chart#visualization#mcp#ai-agents#markdown

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "zhugejun-chartone": {
      "command": "npx",
      "args": [
        "-y",
        "@chartone/mcp"
      ],
      "env": {
        "CHARTONE_API_KEY": "<CHARTONE_API_KEY>"
      }
    }
  }
}
Run commandnpx -y @chartone/mcp
Environment variables to set
CHARTONE_API_KEYSecretOptional API key for higher quota and no watermark. Anonymous mode works without a key — charts return watermarked with a 7-day URL.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@chartone/mcp0.1.7

Tools

2

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
typeenumYesline | bar | horizontalBar | area | pie | doughnut | gauge | scatter | bubble | radar | funnel | stackedBar | stackedBar100 | stackedArea100 | groupedBar | multiLine | mixed
dataobjectYes
data.labelsarrayNo
data.datasetsarrayYes
themeenumNomodern | dark | minimal | vibrant | monochrome | pastel | corporate
widthnumberNo
heightnumberNo
formatenumNopng | jpeg | svg
titlestringNo

Details

From the project README

@chartone/mcp

Branded chart rendering for AI agents. Hosted MCP, zero setup.

ChartOne MCP gives any AI agent the ability to produce themed charts and return them as both an inline image and a persistent hosted URL — perfect for emails, Slack messages, PDFs, and dashboards.

Install

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "chartone": {
      "command": "npx",
      "args": ["-y", "@chartone/mcp"],
      "env": {
        "CHARTONE_API_KEY": "sk-..."
      }
    }
  }
}

Restart Claude Desktop. Anonymous mode (no key) returns watermarked charts.

Cursor / Zed / Windsurf

Same config shape, in each client's MCP settings file. See docs.chartone.dev/mcp for current paths.

Hosted endpoint (beta)

For cloud agents that can't run local stdio servers:

POST https://api.chartone.dev/mcp
Authorization: Bearer sk-...   (optional, anonymous returns watermark)
Content-Type: application/json

Body: { "method": "tools/list" }  or  { "method": "tools/call", "params": {...} }

Tools

  • render_chart — render a chart from explicit type, data, theme.
  • suggest_chart — give it data + intent ("show quarterly trends"), it picks the chart type/theme and renders.

Both return an inline image plus a persistent hosted URL.

Get an API key

Sign up at chartone.dev. Free tier includes a generous render quota; paid tiers remove the watermark and extend URL lifetime.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.