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Matplotlibnet

by xkqgversion 1.18.1i★ –iRuns on your computer
Registry nameio.github.xkqg/matplotlibnet

Install

Overview

Description from the maker (original English)

Renders MatPlotLibNet charts to PNG, SVG or PDF from a JSON spec an AI agent writes.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MATPLOTLIBNET_MCP_OUTPUT_ROOT, MATPLOTLIBNET_FONTS

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "matplotlibnet": {
      "command": "dnx",
      "args": [
        "MatPlotLibNet.Mcp",
        "--yes"
      ],
      "env": {
        "MATPLOTLIBNET_MCP_OUTPUT_ROOT": "your-value",
        "MATPLOTLIBNET_FONTS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add matplotlibnet --env MATPLOTLIBNET_MCP_OUTPUT_ROOT=your-value --env MATPLOTLIBNET_FONTS=your-value -- dnx MatPlotLibNet.Mcp --yes

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "matplotlibnet": {
      "command": "dnx",
      "args": [
        "MatPlotLibNet.Mcp",
        "--yes"
      ],
      "env": {
        "MATPLOTLIBNET_MCP_OUTPUT_ROOT": "your-value",
        "MATPLOTLIBNET_FONTS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "matplotlibnet": {
      "type": "stdio",
      "command": "dnx",
      "args": [
        "MatPlotLibNet.Mcp",
        "--yes"
      ],
      "env": {
        "MATPLOTLIBNET_MCP_OUTPUT_ROOT": "your-value",
        "MATPLOTLIBNET_FONTS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • MATPLOTLIBNET_MCP_OUTPUT_ROOT env
    The only directory save_chart may write under. Defaults to the system temp directory.
  • MATPLOTLIBNET_FONTS env
    Font files (.ttf, .otf) and directories of them, separated by ';', registered at startup so a chart can use a script the bundled font lacks (Devanagari, Thai, Chinese). Arabic and Hebrew work without…

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account xkqg, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2170 servers in this category
  • Published to the registry more recently than 54% of the other 2170 servers in this category
  • Basic checks equal to or better than 100% of the other 2170 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Matplotlibnet safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.18.1) reached the registry 25 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need .NET on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MatPlotLibNet — matplotlib for .NET

MatPlotLibNet is a charting library for C#, .NET 10 and .NET 8, inspired by matplotlib. It draws 91 chart types and saves them as SVG, PNG, PDF or an animated GIF, straight from your server code. It does not need a JavaScript framework, a WebView or a hosted service.

It has a fluent API and it works with dependency injection. It ships with 148 colormaps, 30 themes, 13 map projections with embedded Natural Earth data, LaTeX-style MathText, text in any script, O(1) streaming (57 of its 59 technical indicators have a streaming form), a control room (Plt.OpsDashboard() — KPI tiles, state timelines, one shared trend window), and an MCP server so an AI agent can draw with it. Charts render natively in Blazor, WPF, MAUI, Avalonia, Uno and ASP.NET Core, inside a Verso notebook cell, and TypeScript clients are there for Angular, React and Vue.

Where this is going

1.29.0 puts shapes on an axes and lets an axis show another unit. A rectangle, a polygon, an arrow, a circle, an ellipse, a wedge and an arc (AddPatch) are placed in data coordinates and bend with the axes they stand on, as matplotlib's patches do: on a log axis a circle bends and a straight edge stays straight. They count in the automatic range, a labelled one has a row in the legend, and they travel through JSON and the MCP server. A top or side axis can show the same values in another unit through a function and its inverse (Link with an AxisTransform: degrees Celsius against Fahrenheit, a frequency against its period), as matplotlib's secondary_xaxis and secondary_yaxis do. The top X axis now follows its own tick locator and scale, a series on it follows a log primary Y axis, a translucent line or text keeps its opacity in the SVG, a figure built with AddSubPlot(rows, cols, index) keeps its cell through JSON, and the MCP server draws a spec that holds shapes, spans or annotations and no series. The three rows that were still to come on the roadmap are done.

1.28.0 draws more of what matplotlib draws. Stairs, VLines, HLines and Triplot join the chart verbs, and a sixth family of verbs (Psd, Csd, Cohere, MagnitudeSpectrum, PhaseSpectrum, AngleSpectrum, Acorr, Xcorr) draws a sampled signal in the frequency domain, and its correlation, with matplotlib's defaults; the twelve bring the chart verbs to thirty-eight. A contour label follows its line, upright and in the line's colour; a figure carries text, a legend and an image of its own (FigText, FigLegend, FigImage), drawn on a figure with no subplot too; and an inset marks the region it zooms into (IndicateZoom). The spectrogram windows each frame once and draws its rows at the frequencies they are, a line that is downsampled keeps its gaps, and a line set to LineStyle.None draws no line. A figure's texts, legend and images and an inset's zoom travel through JSON and the MCP server.

1.27.0 finishes the roadmap. A word cloud, a chord diagram, a ternary plot and a Piper diagram are new charts, a selection in one chart can light the same rows in another, and an animation can be saved as one SVG that steps through its frames. A live chart sends its own gestures, one handler interface receives them, and several viewers of one chart share it by design. The native controls return Home to the first view, the MAUI view reaches the same functions, and the Windows heads are tested by CI. 57 of the 59 indicators have a streaming form that follows each new bar, and transfer entropy follows a window.

1.26.0 gives marks that are a size in data units a home. A waffle chart, a calendar of events, Point and Figure and Renko charts draw squares, stripes and boxes that tile the plot area, and Kagi draws its thick and thin lines. A fill can run from one colour to another, an arrow can follow a connected scatter, and the frame of a plot can be trimmed: a spine spans only the data's range, a plot keeps an equal scale on request, and parallel coordinates label every column in its own units. An icicle chart, an arc diagram and a stem-and-leaf plot join the layouts, a waterfall chart can mark a target on each bar, and the comparison with matplotlib now runs in CI. Three new series types (the waffle chart, Point and Figure and the icicle chart) join the chart types, and six new verbs (CalendarEvents, Renko, Kagi, ConnectedScatter, StemAndLeaf, MatShow) bring the chart verbs to 26.

1.25.0 gives each value a chart resolves one owner that every reader asks. The colour bar puts its ticks where the chart's normaliser puts its colours, a theme owns the neutral grey that reference lines and outlines wear, a grid the author changed stays a change over whichever theme the figure is drawn under (a polar chart's rings and a 3-D chart's walls included), and a light's strength reaches the surfaces and bars it lights. Saving to .png, .pdf or .gif without the Skia package is refused rather than written as SVG, and axes that share a scale share its margins, so a table stands directly under the curve it counts. The statistics grow: the violin reads the same Gaussian estimator as the density plot, ProbabilityPlot draws a Q-Q plot against an exponential, uniform, log-normal or Student t distribution (or one of your own), RiskTable puts the numbers at risk and the log-rank test under a survival plot, and ShewhartChart draws the individuals, moving range, X-bar, range, p and c charts and marks points by Nelson's eight tests. The volume tools gain an anchored VWAP (Vwap(bars, anchor)) and a volume profile (VolumeProfile). The library now has 59 indicators.

1.24.0 gathers every Y axis of a chart into one container. The primary axis is the first axis of the left side, and each further axis stacks outward past the one before it, on either side and as many times as the chart needs one: WithAddRightYAxis and WithAddLeftYAxis add an axis with its own range, ticks, colour, series and legend entry, there is no "second" or "third" in the name to count, and the four scales 1.23.0 stopped at are no limit any more. The older verbs for a secondary and for an outward-stacked Y axis keep working and are marked obsolete in favour of them; the changelog lists each with what replaces it. A Y axis title now stands the same distance from its tick labels on the left and on the right, 4 px between the title and the widest label by default, and WithYAxisTitleGap sets another distance for the whole chart; the left title no longer runs off the edge of the figure. Every axis draws the way the primary one does, with its own log or symlog scale, tick locator, minor ticks and a title in math markup, and a line on a left-hand axis can carry its name at its end. A figure written to JSON keeps every axis, whatever their number, and a figure that stays within the old four writes the file 1.23.0 wrote. A chart server drops a zoom or pan that names a subplot it does not have, and one event that fails no longer ends the chart's session for good, as it used to; the MCP server checks every axis of a chart spec instead of the first two. The texts of a chart are placed with more care: a legend left at Best stands where it covers the fewest marks, as matplotlib's loc='best' does, an annotation takes the theme's text size and can move by a number of pixels or out of the way of the data and the legend, a bar's value label stands beyond the bar's end whichever way the bar points, and a turned tick label has room beside the plot.

The same release picks up thirteen more rows of the roadmap, each one rule where there had been two. A colour bar puts its ticks at round numbers, as many as fit along its length. A polar chart has one radial scale that its rings, lines, bars and heatmap all read, and polar bars stack, so a wind rose is one PolarBar call for each speed class. Bars stack on both sides of zero, so a Likert scale is a stacked bar chart. A filled contour fills the bands between its levels over the grid and follows the limits you set. A series that cannot be drawn from the data it was given is refused when it is built, and not when the chart is drawn, and the MCP server names the place in the spec where it stands. A stacked area names its layers in the legend, a state timeline's legend entry shows its states, and a series says for itself whether it needs axes around it. A map from MatPlotLibNet.Geo keeps its holes, comes back from JSON, colours its regions by a value (Choropleth) and takes points, bubbles, hexagon bins, flows along great circles, a cartogram and a Dorling map.

1.23.0 moves the technical indicators that read a candle's open, high, low, close and volume from separate array parameters to one OhlcvBars value, built with the factory that names the columns the indicator actually uses (OhlcvBars.Hlc(high, low, close), OhlcvBars.Cv(close, volume), and so on) instead of repeating the same arrays across every indicator on a chart. A chart with more than two scales now has somewhere to put the extra ones: a verb that stacks a second axis past the first on either side — four scales total, two left and two right, each with its own range, ticks, series and legend entry, the way matplotlib moves a twin's spine outward. A secondary axis restores through the same registry the primary one does, so a bar or an area survives there and on the top axis too, not only a line or a point; and a wheel zoom, a drag pan, a rectangle zoom and Home now move every one of those axes, each by its own amount, whether the server answers the gesture or a native control does. Underneath, the close to a hundred chart verbs the fluent API builds from now live one-per-file as extension members on Axes instead of all sharing one class — a file-layout change only, no call a reader writes is any different because of it.

1.22.0 lets several series share one colour instead of each taking the next one from the theme's cycle, and spends it on three things: a Kaplan-Meier curve now draws its confidence band and its censor marks in the curve's own colour, and two new verbs, Raincloud (a half violin, a narrow box and a group's raw points in one colour) and Horizon (a signed series folded into bands of two hues), bring the axes builder to seventeen verbs.

1.21.0 makes every chart type and every axes setting round-trip through JSON whole. A Sankey's nodes and links, a treemap's, sunburst's, dendrogram's and clustermap's trees, a tree grid's rows, a polar chart's data, a streaming chart's current points and a planar 3-D bar's data all come back from JSON as themselves now, not a placeholder — the MCP server lists and accepts all eight again, where it used to refuse them by name. An axes' Z axis, its 3-D pane colours and its tooltip switch come back too. The one series this release did not reach is MatPlotLibNet.Geo's GeoPolygonSeries, named on the roadmap; 1.24.0 brings it back from JSON too.

1.20.0 turns charts that took a page of code into one call. Fifteen verbs on the axes builder, among them Pareto, Ridgeline, CalendarHeatmap, QQPlot, ControlChart, KaplanMeier, StreamGraph and Marimekko, take the data as you hold it (names, groups, samples, dates) and build the chart from the series the library already has. Underneath them, a figure wr

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