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Mcpchartplotter

Reviewed overview

MCP server overview

what is MCP Chart Plotter?

MCP Chart Plotter is an open-source, Python-based chart plotting and data-visualization tool intended to run as a small local server and integrate with development environments (example: Cursor IDE). The project provides a simple server (server.py) and tooling to plot charts from data while you develop.

how to use MCP Chart Plotter?

  1. Clone the repository: git clone https://github.com/ReallyFloppyPenguin/MCPChartPlotter.git

  2. Start the provided server script (server.py). In Cursor IDE the project author suggests adding a JSON command entry like: “plot_chart”: { “command”: “uv”, “args”: [“–directory”, “C:/Your/Path/To/The/Server”, “run”, “server.py”] }

    • Add that JSON to Cursor (or adapt it for your IDE) and run the command to launch the plotting server.
    • Ensure you have a Python runtime and an appropriate server runner (the example uses a uv command; this may be an alias for a runner such as uvicorn or a local script).

  3. Open the plotting interface exposed by the server to visualize charts.

key features of MCP Chart Plotter

  • Python-based chart plotting and visualization
  • Runs as a small local server (server.py)
  • Integration example for Cursor IDE (JSON command snippet provided)
  • Open-source repository on GitHub for inspection and customization

use cases of MCP Chart Plotter

  1. Visualizing development or test data in real time while coding
  2. Inspecting chart output generated by Python projects or scripts
  3. Integrating chart previews into an IDE workflow (Cursor or other IDEs)
  4. Lightweight demo or teaching tool for plotting and server-driven visualization

FAQ from MCP Chart Plotter

  • How do I install it?

Clone the GitHub repo and run the provided server.py. The project includes an example Cursor IDE JSON snippet to add a launch command.

  • Do I have to use Cursor IDE?

No. Cursor is shown as an example. You can adapt the provided command snippet for other IDEs or run the server manually from a terminal.

  • What is the uv command in the example?

The example uses uv as the command to run the server script. This may be an alias or shorthand for a Python server runner (e.g., uvicorn) or a project-specific script—ensure you have the appropriate runner available or replace it with your preferred command to execute server.py.

  • Is this project written in Python?

Yes, the project is Python-based (the main server is server.py).

  • Where can I find the source code?

The source is on GitHub: https://github.com/ReallyFloppyPenguin/MCPChartPlotter