A side-by-side look at the MCP Server Chart and Semiotic MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Server Chart for data visualization work as a local process; choose Semiotic for data visualization as a local process. You can also run both side by side in one mcpServers block.
generate_area_chart, generate_bar_chart, generate_boxplot_chart.renderChart, renderInteractiveChart, getSchema.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Visualization | Data Visualization |
| Quality signal | 71/100 · Great | 67/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed |
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.generate_flow_diagramPaste 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.
{
"mcpServers": {
"antv-mcp-server-chart": {
"command": "npx",
"args": [
"-y",
"@antv/mcp-server-chart"
]
}
}
}
{
"mcpServers": {
"nteract-semiotic": {
"command": "npx",
"args": [
"-y",
"semiotic-mcp"
]
}
}
}
| Verified owner | Community listing | Community listing |
|---|
| GitHub stars | 4,394 | 2,714 |
|---|
| Directory activity | 5 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
|---|
| Tools | 27 | 18 |
|---|
| Full listing | View MCP Server Chart | View Semiotic |
|---|
generate_funnel_chartGenerate a funnel chart to visualize the progressive reduction of data as it passes through stages, such as, the conversion rates of users from visiting a website to completing a purchase.generate_histogram_chartGenerate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.generate_line_chartGenerate a line chart to show trends over time, such as, the ratio of Apple computer sales to Apple's profits changed from 2000 to 2016.generate_liquid_chartGenerate a liquid chart to visualize a single value as a percentage, such as, the current occupancy rate of a reservoir or the completion percentage of a project.renderChartRender a Semiotic chart to static SVG. Supports the components returned by `getSchema` that are marked `[renderable]`. Pass `{ component: "LineChart", props: { data: [...], xAccessor: "x", yAccessor: "y" } }`. Returns SVG string plus a "Render evidence" JSON block (mark counts by scene type, resolv…renderInteractiveChartRender a static-data chart as a ChatGPT Apps widget. Uses the same Semiotic server render path as `renderChart`, then hydrates an iframe UI with fit, zoom, data, hover, and render-evidence controls.getSchemaReturn the prop schema for a specific component. Pass `{ component: "LineChart" }` to get its props, or omit `component` to list the complete schema-backed catalog. Components marked `[renderable]` are available through `renderChart`; realtime charts require a browser/live environment.suggestChartSample-row recommender. Pass `{ data: [{...}, ...] }` with 1–5 sample objects plus optional broad intent/capability filters.suggestChartsCapability-based recommender for bounded row data. Returns ranked chart suggestions with scores, reasons, caveats, import paths, and ready-to-use props.suggestStreamChartsRecommend streaming charts from a schema (shape, key, throughput). Returns `{ suggestions, excluded, stretchSuggestions }`.suggestStreamDashboardCompose a multi-panel dashboard from stream schemas and an audience layout policy.suggestDashboardBuild a multi-panel dashboard suggestion that covers distinct analytical intents.suggestStretchChartsRecommend audience-literacy stretch picks from an `AudienceProfile`.repairChartConfigCheck whether a requested chart fits a dataset and return ranked alternatives when it does not.interrogateChartReturn a statistical summary and chart-aware context for answering natural-language questions with optional annotations.diagnoseConfigCheck a chart configuration for common problems — empty data, bad dimensions, missing accessors, wrong data shape, and more. Returns a human-readable diagnostic report with actionable fixes.