mpl_mcp_eqn_chart
Plot mathematical equations to visualize functions and relationships between variables. Generate charts with customizable axes, gridlines, and legends for analysis and presentation.
Instructions
Plots mathematical equations
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| equations | Yes | ||
| x_min | No | ||
| x_max | No | ||
| num_points | No | ||
| title | No | Equation Plot | |
| xlabel | No | x | |
| ylabel | No | y | |
| grid | No | ||
| legend | No | ||
| figsize | No | ||
| linewidth | No | ||
| linestyle | No | - | |
| alpha | No | ||
| dpi | No | ||
| save | No |
Implementation Reference
- fmcp/mpl_mcp/core/eqn_chart.py:15-125 (handler)The eqn_chart function is the main handler for the mpl_mcp_eqn_chart tool, plotting mathematical equations using matplotlib and returning a PNG image.def eqn_chart( equations: Union[str, List[str]], x_min: Union[float, int] = -10.0, x_max: Union[float, int] = 10.0, num_points: Union[int, float] = 1000, title: str = "Equation Plot", xlabel: str = "x", ylabel: str = "y", grid: bool = True, legend: bool = True, figsize: List[Union[int, float]] = [10, 6], linewidth: Union[float, int] = 2.0, linestyle: str = "-", alpha: Union[float, int] = 1.0, dpi: Union[int, float] = 200, save: bool = False, ) -> Image: """ Plot one or more mathematical equations on the same chart. Args: equations: Single equation string or list of equation strings (e.g., "x**2" or ["x**2", "sin(x)"]) x_min: Minimum x-value for the plot x_max: Maximum x-value for the plot num_points: Number of points to generate for the plot title: Title of the plot xlabel: Label for the x-axis ylabel: Label for the y-axis grid: Whether to show grid lines legend: Whether to show legend figsize: Figure size (width, height) in inches linewidth: Width of the plot lines linestyle: Style of the plot lines alpha: Transparency of the plot lines dpi: Dots per inch for the output image save: If True, save the figure to a buffer Returns: Image: The image object containing the plot """ # Create a config instance to allow arbitrary types _ = PlotConfig() # Rest of your function remains the same if isinstance(equations, str): equations = [equations] fig, ax = plt.subplots(figsize=(float(figsize[0]), float(figsize[1])), dpi=int(dpi)) x = np.linspace(float(x_min), float(x_max), int(num_points)) for eq in equations: eq_py = eq.replace("^", "**") eq_py = re.sub(r"(\W|^)([a-z]+)\(", r"\1np.\2(", eq_py) try: y = eval( eq_py, { "x": x, "np": np, "sin": np.sin, "cos": np.cos, "tan": np.tan, "exp": np.exp, "log": np.log, "sqrt": np.sqrt, "pi": np.pi, "e": np.e, }, ) # Convert numpy arrays to lists for Pydantic compatibility if isinstance(y, np.ndarray): y = y.tolist() ax.plot( x, y, label=f"y = {eq}", linewidth=float(linewidth), linestyle=linestyle, alpha=float(alpha), ) except Exception as e: print(f"Error plotting equation '{eq}': {str(e)}") continue ax.set_title(title) ax.set_xlabel(xlabel) ax.set_ylabel(ylabel) ax.grid(grid) if (len(equations) > 1 or legend) and any(ax.lines): ax.legend() plt.tight_layout() # Always save to buffer for the return value buf = io.BytesIO() plt.savefig(buf, format="png", dpi=int(dpi)) plt.close() buf.seek(0) # If save is True, also save to a file if save: with open("equation_plot.png", "wb") as f: f.write(buf.getvalue()) buf.seek(0) # Reset buffer position after reading return Image(data=buf.read(), format="png")
- fmcp/mpl_mcp/server.py:24-24 (registration)The eqn_chart function is registered as a tool in the FastMCP server named mpl_mcp, likely resulting in the tool name mpl_mcp_eqn_chart.mpl_mcp.tool(eqn_chart, description="Plots mathematical equations")
- fmcp/mpl_mcp/server.py:7-7 (registration)Import of the eqn_chart handler into the server module for registration.from .core.eqn_chart import eqn_chart