Chartone vs Charted
A side-by-side look at the Chartone and Charted MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Chartone for data visualization work as a local process; choose Charted for data visualization as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Chartone when
- You need dedicated capabilities in the Data Visualization domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
CHARTONE_API_KEY. - You want tools like
render_chart, suggest_chart.
Choose Charted when
- You need dedicated capabilities in the Data Visualization domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Visualization | Data Visualization |
| Quality signal | 47/100 · Fair | 51/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | CHARTONE_API_KEY | None listed |
Tools & capabilities
Chartone tools 2
render_chartsuggest_chart
Charted tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Chartone
{
"mcpServers": {
"chartone-2": {
"command": "npx",
"args": [
"-y",
"@chartone/mcp"
],
"env": {
"CHARTONE_API_KEY": "YOUR_CHARTONE_API_KEY_HERE"
}
}
}
}
Charted
{
"mcpServers": {
"marzukia-charted": {
"command": "uvx",
"args": [
"--from",
"charted[mcp]",
"charted-mcp"
]
}
}
}
Frequently asked questions
Chartone is categorized under Data Visualization and uses a local stdio subprocess. Charted belongs to Data Visualization and uses a local stdio subprocess. Pick Chartone for data visualization work and Charted for data visualization.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Chartone has no declared pricing — check the project's own site. Charted is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add chartone-2 and marzukia-charted as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Chartone has a quality signal of 47/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Charted has 51/100 (Good) with 7 views, 0 installs and 14 GitHub stars.