plot_multiple_functions
Plot multiple mathematical functions simultaneously on a single graph to compare relationships and visualize interactions between equations.
Instructions
Plots multiple functions on the same graph.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| formulas | Yes | ||
| x_range | No | ||
| y_range | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- src/main.py:198-198 (registration)Registers the 'plot_multiple_functions' tool using the @mcp.tool() decorator.
@mcp.tool() - src/main.py:199-246 (handler)The main handler function that plots multiple mathematical functions on a single graph using SymPy's plotting capabilities. It processes each formula, appends series to a plot, saves to desktop, encodes as base64 data URI, and returns the image.
async def plot_multiple_functions( ctx: MCPContext, formulas: List[str], x_range: Optional[List[float]] = [-10, 10], y_range: Optional[List[float]] = None, ) -> str: """Plots multiple functions on the same graph.""" try: await ctx.progress.start(total=len(formulas) + 1, message="Starting multi-plot...") x = sympy.symbols('x') p = sympy.plot(show=False) for i, formula in enumerate(formulas): await ctx.progress.report(i + 1, message=f"Processing formula {i+1}: {formula}") expr = sympy.sympify(formula) line_label = formula line_color = f"C{i}" series = sympy.plot(expr, (x, x_range[0], x_range[1]), show=False, line_color=line_color, label=line_label)[0] p.append(series) if x_range: p.xlim = x_range if y_range: p.ylim = y_range p.legend = True # Save the plot to a file desktop_path = os.path.join(os.path.expanduser('~'), 'Desktop') save_dir = os.path.join(desktop_path, 'Desmos-MCP') os.makedirs(save_dir, exist_ok=True) timestamp = datetime.now().strftime("%Y%m%d%H%M%S") filename = f"multi_plot_{timestamp}.png" p.save(os.path.join(save_dir, filename)) await ctx.progress.report(len(formulas) + 1, message="Encoding image...") buf = io.BytesIO() p.save(buf) buf.seek(0) img_base64 = base64.b64encode(buf.read()).decode('utf-8') data_uri = f"data:image/png;base64,{img_base64}" await ctx.progress.end() return f"Successfully plotted {len(formulas)} functions. Image: {data_uri}" except Exception as e: await ctx.progress.end() return f"Error plotting multiple functions. Details: {e}"