ext-apps/examples/scenario-modeler-server/server.ts

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js";
import type {
  CallToolResult,
  ReadResourceResult,
} from "@modelcontextprotocol/sdk/types.js";
import cors from "cors";
import express, { type Request, type Response } from "express";
import fs from "node:fs/promises";
import path from "node:path";
import { z } from "zod";
import { RESOURCE_URI_META_KEY } from "../../dist/src/app";

const PORT = process.env.PORT ? parseInt(process.env.PORT, 10) : 3001;
const DIST_DIR = path.join(import.meta.dirname, "dist");

// ============================================================================
// Schemas - types are derived from these using z.infer
// ============================================================================

const ScenarioInputsSchema = z.object({
  startingMRR: z.number(),
  monthlyGrowthRate: z.number(),
  monthlyChurnRate: z.number(),
  grossMargin: z.number(),
  fixedCosts: z.number(),
});

const MonthlyProjectionSchema = z.object({
  month: z.number(),
  mrr: z.number(),
  grossProfit: z.number(),
  netProfit: z.number(),
  cumulativeRevenue: z.number(),
});

const ScenarioSummarySchema = z.object({
  endingMRR: z.number(),
  arr: z.number(),
  totalRevenue: z.number(),
  totalProfit: z.number(),
  mrrGrowthPct: z.number(),
  avgMargin: z.number(),
  breakEvenMonth: z.number().nullable(),
});

const ScenarioTemplateSchema = z.object({
  id: z.string(),
  name: z.string(),
  description: z.string(),
  icon: z.string(),
  parameters: ScenarioInputsSchema,
  projections: z.array(MonthlyProjectionSchema),
  summary: ScenarioSummarySchema,
  keyInsight: z.string(),
});

const GetScenarioDataInputSchema = z.object({
  customInputs: ScenarioInputsSchema.optional().describe(
    "Custom scenario parameters to compute projections for",
  ),
});

// Types derived from schemas
type ScenarioInputs = z.infer<typeof ScenarioInputsSchema>;
type MonthlyProjection = z.infer<typeof MonthlyProjectionSchema>;
type ScenarioSummary = z.infer<typeof ScenarioSummarySchema>;
type ScenarioTemplate = z.infer<typeof ScenarioTemplateSchema>;

// ============================================================================
// Calculations
// ============================================================================

function calculateProjections(inputs: ScenarioInputs): MonthlyProjection[] {
  const {
    startingMRR,
    monthlyGrowthRate,
    monthlyChurnRate,
    grossMargin,
    fixedCosts,
  } = inputs;

  const netGrowthRate = (monthlyGrowthRate - monthlyChurnRate) / 100;
  const projections: MonthlyProjection[] = [];
  let cumulativeRevenue = 0;

  for (let month = 1; month <= 12; month++) {
    const mrr = startingMRR * Math.pow(1 + netGrowthRate, month);
    const grossProfit = mrr * (grossMargin / 100);
    const netProfit = grossProfit - fixedCosts;
    cumulativeRevenue += mrr;

    projections.push({
      month,
      mrr,
      grossProfit,
      netProfit,
      cumulativeRevenue,
    });
  }

  return projections;
}

function calculateSummary(
  projections: MonthlyProjection[],
  inputs: ScenarioInputs,
): ScenarioSummary {
  const endingMRR = projections[11].mrr;
  const arr = endingMRR * 12;
  const totalRevenue = projections.reduce((sum, p) => sum + p.mrr, 0);
  const totalProfit = projections.reduce((sum, p) => sum + p.netProfit, 0);
  const mrrGrowthPct =
    ((endingMRR - inputs.startingMRR) / inputs.startingMRR) * 100;
  const avgMargin = (totalProfit / totalRevenue) * 100;

  const breakEvenProjection = projections.find((p) => p.netProfit >= 0);
  const breakEvenMonth = breakEvenProjection?.month ?? null;

  return {
    endingMRR,
    arr,
    totalRevenue,
    totalProfit,
    mrrGrowthPct,
    avgMargin,
    breakEvenMonth,
  };
}

function calculateScenario(inputs: ScenarioInputs) {
  const projections = calculateProjections(inputs);
  const summary = calculateSummary(projections, inputs);
  return { projections, summary };
}

function buildTemplate(
  id: string,
  name: string,
  description: string,
  icon: string,
  parameters: ScenarioInputs,
  keyInsight: string,
): ScenarioTemplate {
  const { projections, summary } = calculateScenario(parameters);
  return {
    id,
    name,
    description,
    icon,
    parameters,
    projections,
    summary,
    keyInsight,
  };
}

// ============================================================================
// Pre-defined Templates
// ============================================================================

const SCENARIO_TEMPLATES: ScenarioTemplate[] = [
  buildTemplate(
    "bootstrapped",
    "Bootstrapped Growth",
    "Low burn, steady growth, path to profitability",
    "🌱",
    {
      startingMRR: 30000,
      monthlyGrowthRate: 4,
      monthlyChurnRate: 2,
      grossMargin: 85,
      fixedCosts: 20000,
    },
    "Profitable by month 1, but slower scale",
  ),
  buildTemplate(
    "vc-rocketship",
    "VC Rocketship",
    "High burn, explosive growth, raise more later",
    "🚀",
    {
      startingMRR: 100000,
      monthlyGrowthRate: 15,
      monthlyChurnRate: 5,
      grossMargin: 70,
      fixedCosts: 150000,
    },
    "Loses money early but ends at 3x MRR",
  ),
  buildTemplate(
    "cash-cow",
    "Cash Cow",
    "Mature product, high margin, stable revenue",
    "🐄",
    {
      startingMRR: 80000,
      monthlyGrowthRate: 2,
      monthlyChurnRate: 1,
      grossMargin: 90,
      fixedCosts: 40000,
    },
    "Consistent profitability, low risk",
  ),
  buildTemplate(
    "turnaround",
    "Turnaround",
    "Fighting churn, rebuilding product-market fit",
    "🔄",
    {
      startingMRR: 60000,
      monthlyGrowthRate: 6,
      monthlyChurnRate: 8,
      grossMargin: 75,
      fixedCosts: 50000,
    },
    "Negative net growth requires urgent action",
  ),
  buildTemplate(
    "efficient-growth",
    "Efficient Growth",
    "Balanced approach with sustainable economics",
    "⚖️",
    {
      startingMRR: 50000,
      monthlyGrowthRate: 8,
      monthlyChurnRate: 3,
      grossMargin: 80,
      fixedCosts: 35000,
    },
    "Good growth with path to profitability",
  ),
];

const DEFAULT_INPUTS: ScenarioInputs = {
  startingMRR: 50000,
  monthlyGrowthRate: 5,
  monthlyChurnRate: 3,
  grossMargin: 80,
  fixedCosts: 30000,
};

// ============================================================================
// MCP Server
// ============================================================================

const server = new McpServer({
  name: "SaaS Scenario Modeler",
  version: "1.0.0",
});

// Register tool and resource
{
  const resourceUri = "ui://scenario-modeler/mcp-app.html";

  server.registerTool(
    "get-scenario-data",
    {
      title: "Get Scenario Data",
      description:
        "Returns SaaS scenario templates and optionally computes custom projections for given inputs",
      inputSchema: GetScenarioDataInputSchema.shape,
      _meta: { [RESOURCE_URI_META_KEY]: resourceUri },
    },
    async (args: {
      customInputs?: ScenarioInputs;
    }): Promise<CallToolResult> => {
      const customScenario = args.customInputs
        ? calculateScenario(args.customInputs)
        : undefined;

      return {
        content: [
          {
            type: "text",
            text: JSON.stringify({
              templates: SCENARIO_TEMPLATES,
              defaultInputs: DEFAULT_INPUTS,
              customProjections: customScenario?.projections,
              customSummary: customScenario?.summary,
            }),
          },
        ],
      };
    },
  );

  server.registerResource(
    resourceUri,
    resourceUri,
    { description: "SaaS Scenario Modeler UI" },
    async (): Promise<ReadResourceResult> => {
      const html = await fs.readFile(
        path.join(DIST_DIR, "mcp-app.html"),
        "utf-8",
      );
      return {
        contents: [
          {
            uri: resourceUri,
            mimeType: "text/html;profile=mcp-app",
            text: html,
          },
        ],
      };
    },
  );
}

// ============================================================================
// Server Startup
// ============================================================================

async function main() {
  if (process.argv.includes("--stdio")) {
    const transport = new StdioServerTransport();
    await server.connect(transport);
    console.error("SaaS Scenario Modeler Server running in stdio mode");
  } else {
    const app = express();
    app.use(cors());
    app.use(express.json());

    app.post("/mcp", async (req: Request, res: Response) => {
      try {
        const transport = new StreamableHTTPServerTransport({
          sessionIdGenerator: undefined,
          enableJsonResponse: true,
        });
        res.on("close", () => {
          transport.close();
        });

        await server.connect(transport);
        await transport.handleRequest(req, res, req.body);
      } catch (error) {
        console.error("Error handling MCP request:", error);
        if (!res.headersSent) {
          res.status(500).json({
            jsonrpc: "2.0",
            error: { code: -32603, message: "Internal server error" },
            id: null,
          });
        }
      }
    });

    const httpServer = app.listen(PORT, (err) => {
      if (err) {
        console.error("Error starting server:", err);
        process.exit(1);
      }
      console.log(
        `SaaS Scenario Modeler Server listening on http://localhost:${PORT}/mcp`,
      );
    });

    function shutdown() {
      console.log("\nShutting down...");
      httpServer.close(() => {
        console.log("Server closed");
        process.exit(0);
      });
    }

    process.on("SIGINT", shutdown);
    process.on("SIGTERM", shutdown);
  }
}

main().catch(console.error);