AIGUI vs MCP Server Chart
A side-by-side look at the AIGUI and MCP Server Chart MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
A
AIGUIData VisualizationLet coding agents draw charts, diagrams, 3D, molecules and animated topologies as PNGs or live pages36FairAuth: no auth requiredVerdict: choose AIGUI for data visualization work; choose MCP Server Chart 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?
AChoose AIGUI when
- You need dedicated capabilities in the Data Visualization domain.
- Its auth model fits you: No auth required.
Choose MCP Server Chart 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
generate_area_chart, generate_bar_chart, generate_boxplot_chart.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | A AIGUI | |
|---|---|---|
| Category | Data Visualization | Data Visualization |
| Quality signal | 36/100 · Fair | 71/100 · Great |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner |
Tools & capabilities
AIGUI tools
No tool names declared yet. Check the project README from the listing page.
MCP Server Chart tools 27
generate_area_chartGenerate a area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average or instantaneous) × time: s = v × t. If the x-axis is time (t) and the y-axis is velocity (v) at each moment, an area chart allows you to observe the trend of velocity over time and infer the distance traveled by the area's size.generate_bar_chartGenerate a horizontal bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.generate_boxplot_chartGenerate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.generate_column_chartGenerate a column chart, which are best for comparing categorical data, such as, when values are close, column charts are preferable because our eyes are better at judging height than other visual elements like area or angles.generate_district_mapGenerates regional distribution maps, which are usually used to show the administrative divisions and coverage of a dataset. It is not suitable for showing the distribution of specific locations, such as urban administrative divisions, GDP distribution maps of provinces and cities across the country, etc. This tool is limited to generating data maps within China.generate_dual_axes_chartGenerate a dual axes chart which is a combination chart that integrates two different chart types, typically combining a bar chart with a line chart to display both the trend and comparison of data, such as, the trend of sales and profit over time.generate_fishbone_diagramGenerate a fishbone diagram chart to uses a fish skeleton, like structure to display the causes or effects of a core problem, with the problem as the fish head and the causes/effects as the fish bones. It suits problems that can be split into multiple related factors.
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.
AIGUI
No confirmed install command for AIGUI yet — follow the setup steps linked from its listing page rather than a guessed package name.
MCP Server Chart
{
"mcpServers": {
"antv-mcp-server-chart": {
"command": "npx",
"args": [
"-y",
"@antv/mcp-server-chart"
]
}
}
}
Frequently asked questions
AIGUI is categorized under Data Visualization and uses an install path we have not confirmed yet. MCP Server Chart belongs to Data Visualization and uses a local stdio subprocess. Pick AIGUI for data visualization work and MCP Server Chart 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. AIGUI has no confirmed install command yet — follow its own setup instructions.
AIGUI is listed as free. Auth: no auth required. MCP Server Chart 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 aigui and antv-mcp-server-chart as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AIGUI has a quality signal of 36/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. MCP Server Chart has 71/100 (Great) with 5 views, 0 installs and 4,394 GitHub stars.
