ext-apps/examples/scenario-modeler-server/server.ts
Anton Pidkuiko 8550545ccb
fix: add mimeType to resource declarations in examples (#149)
According to spec, mimeType should be present in both the resource
declaration and the resource content. This adds the missing mimeType
to the registerResource() declaration (third parameter) in all example
servers and the quickstart documentation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: ochafik <olivier.chafik@gmail.com>
2025-12-15 12:09:47 +00:00

335 lines
8.7 KiB
TypeScript

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import type {
CallToolResult,
ReadResourceResult,
} from "@modelcontextprotocol/sdk/types.js";
import fs from "node:fs/promises";
import path from "node:path";
import { z } from "zod";
import { RESOURCE_MIME_TYPE, RESOURCE_URI_META_KEY } from "../../dist/src/app";
import { startServer } from "../shared/server-utils.js";
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
// ============================================================================
/**
* Creates a new MCP server instance with tools and resources registered.
* Each HTTP session needs its own server instance because McpServer only supports one transport.
*/
function createServer(): McpServer {
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,
{ mimeType: RESOURCE_MIME_TYPE, 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: RESOURCE_MIME_TYPE,
text: html,
},
],
};
},
);
}
return server;
}
// ============================================================================
// Server Startup
// ============================================================================
async function main() {
if (process.argv.includes("--stdio")) {
await createServer().connect(new StdioServerTransport());
} else {
const port = parseInt(process.env.PORT ?? "3106", 10);
await startServer(createServer, {
port,
name: "SaaS Scenario Modeler Server",
});
}
}
main().catch((e) => {
console.error(e);
process.exit(1);
});