# @chartone/mcp

> @chartone/mcp — zhugejun-chartone-mcp. Use this tool when you need to visualize data as branded charts and share them as inline images or hosted URLs. It solves problems of data representation and sharing by supporting various chart types and automatic chart suggestions from data. The tool takes in data and chart preferences as inputs and outputs rendered charts and hosted URLs.

Canonical page: https://skillsregistry.net/skills/zhugejun-chartone-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhugejun-chartone-mcp

## Description

Enables AI agents to render branded charts as inline images and persistent hosted URLs, supporting explicit chart types and automatic chart suggestion from data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gvyi4o4fll)
- **Repository:** <https://github.com/zhugejun/chartone-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zhugejun-chartone-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhugejun-chartone-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhugejun-chartone-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt