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ClaudeWave

Branded chart rendering for AI agents — hosted MCP server, zero setup

MCP ServersOfficial Registry0 stars0 forks● JavaScriptUpdated 5mo ago
ClaudeWave Trust Score
52/100
· OK
Passed
  • ✓Clear description
  • ✓Documented (README)
Flags
  • !No standard license detected
Last scanned: 10/9/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/zhugejun/chartone-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "chartone-mcp": {
      "command": "node",
      "args": ["/path/to/chartone-mcp/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/zhugejun/chartone-mcp and follow its README for install instructions.
Use cases

MCP Servers overview

# @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):

```json
{
  "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](https://docs.chartone.dev/mcp) for current paths.

### Hosted endpoint (beta)

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

```text
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](https://chartone.dev). Free tier includes a generous render quota; paid tiers remove the watermark and extend URL lifetime.

What people ask about chartone-mcp

What is zhugejun/chartone-mcp?

+

zhugejun/chartone-mcp is mcp servers for the Claude AI ecosystem. Branded chart rendering for AI agents — hosted MCP server, zero setup It has 0 GitHub stars and its last recorded update is dated 2026-05-07.

How do I install chartone-mcp?

+

You can install chartone-mcp by cloning the repository (https://github.com/zhugejun/chartone-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is zhugejun/chartone-mcp safe to use?

+

Our security agent has analyzed zhugejun/chartone-mcp and assigned a Trust Score of 52/100 (tier: OK). See the full breakdown of passed checks and flags on this page.

Who maintains zhugejun/chartone-mcp?

+

zhugejun/chartone-mcp is maintained by zhugejun. The last recorded GitHub activity is dated 2026-05-07, with 0 open issues.

Are there alternatives to chartone-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy chartone-mcp to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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