Chartone vs Microcharts
A side-by-side look at the Chartone and Microcharts 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 Microcharts 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 Microcharts 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.
- You want tools like
find_microchart, get_microchart, render_microchart.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Visualization | Data Visualization |
| Quality signal | 49/100 · Fair | 69/100 · Great |
| 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 |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 204 |
| Directory activity | 2 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 2 | 3 |
| Full listing | View Chartone | View Microcharts |
Tools & capabilities
Chartone tools 2
render_chartsuggest_chart
Microcharts tools 3
find_microchartRank microcharts chart types against a plain-language question about data ("is it trending?", "error budget", "part to whole"). Returns candidates with the reason each matched. Start here when you know the question, not the chart.get_microchartFull wiring detail for one chart by slug: import paths, its props plus the shared props, data shape, best/avoid guidance, a copy-runnable example, and `sample` — the example as JSON props you can pass straight to render_microchart.render_microchartRender a chart to a finished, self-contained SVG (styles embedded) plus its generated alt text — for surfaces that can't run React. Pass the series as `data`; put other props (value, target, curve, color, width) in `props`. Each chart takes its own data shape — get_microchart returns a valid `sample` to adapt.
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"
}
}
}
}
Microcharts
{
"mcpServers": {
"ganapativs-microcharts": {
"command": "npx",
"args": [
"-y",
"@microcharts/mcp"
]
}
}
}
Frequently asked questions
Chartone is categorized under Data Visualization and uses a local stdio subprocess. Microcharts belongs to Data Visualization and uses a local stdio subprocess. Pick Chartone for data visualization work and Microcharts 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. Microcharts 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 ganapativs-microcharts 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 49/100 (Fair) with 2 views, 0 installs and 0 GitHub stars. Microcharts has 69/100 (Great) with 4 views, 0 installs and 204 GitHub stars.