Chartone vs Matplotlibnet
A side-by-side look at the Chartone and Matplotlibnet 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 Matplotlibnet for data visualization. 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 Matplotlibnet when
- You need dedicated capabilities in the Data Visualization domain.
- 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 | 49/100 · Fair | 39/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | 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 | 17 |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 2 | Not listed |
| Full listing | View Chartone | View Matplotlibnet |
Tools & capabilities
Chartone tools 2
render_chartsuggest_chart
Matplotlibnet 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"
}
}
}
}
Matplotlibnet
No confirmed install command for Matplotlibnet yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Chartone is categorized under Data Visualization and uses a local stdio subprocess. Matplotlibnet belongs to Data Visualization and uses an install path we have not confirmed yet. Pick Chartone for data visualization work and Matplotlibnet 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. Matplotlibnet has no confirmed install command yet — follow its own setup instructions.
Chartone has no declared pricing — check the project's own site. Matplotlibnet 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 matplotlibnet 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. Matplotlibnet has 39/100 (Fair) with 0 views, 0 installs and 17 GitHub stars.