chore: bootstrap monorepo (turbo, biome, docker-compose, env, CHOICES)

This commit is contained in:
Marco Sadjadi 2026-05-19 00:20:15 +02:00
commit fe4800e2c8
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# ---- Core ----
NODE_ENV=development
# ---- Database ----
DATABASE_URL=postgresql://bmm:bmm@localhost:5432/bmm
REDIS_URL=redis://localhost:6379
# ---- Auth (Better-Auth) ----
BETTER_AUTH_SECRET=replace-me-with-32-bytes-of-random-hex-1234567890abcdef
BETTER_AUTH_URL=http://localhost:3000
NEXT_PUBLIC_APP_URL=http://localhost:3000
NEXT_PUBLIC_API_URL=http://localhost:4000
# ---- GitHub OAuth (optional in dev) ----
GITHUB_OAUTH_ID=
GITHUB_OAUTH_SECRET=
# ---- Anthropic ----
ANTHROPIC_API_KEY=
# ---- Crypto ----
# 32-byte hex for AES-256-GCM; generate with: openssl rand -hex 32
SECRETS_ENCRYPTION_KEY=0000000000000000000000000000000000000000000000000000000000000000
# ---- OAuth signing (RS256 JWKS) ----
# Path to PEM keypair; auto-generated on api boot if missing
OAUTH_KEY_DIR=./keys
# ---- Runner / Generator ----
# Where MCP runtime containers bind (host machine reachable from API)
RUNNER_HOST=localhost
# Range of host ports used for generated MCP containers
RUNNER_PORT_RANGE_START=4100
RUNNER_PORT_RANGE_END=4999
# Public URL template — $SLUG and $PORT are interpolated
RUNNER_PUBLIC_URL_TEMPLATE=http://localhost:$PORT
# Control plane URL reachable from runner containers
CONTROL_PLANE_URL=http://host.docker.internal:4000
# ---- Stripe (Sprint 4) ----
STRIPE_SECRET_KEY=
STRIPE_WEBHOOK_SECRET=
# ---- Observability (optional) ----
SENTRY_DSN=
OTEL_EXPORTER_OTLP_ENDPOINT=

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node_modules/
.pnpm-store/
.turbo/
.next/
dist/
build/
out/
.DS_Store
*.log
.env
.env.local
.env.*.local
!.env.example
drizzle/meta/_journal.json.bak
.vscode/
.idea/
coverage/
build-context/
*.tsbuildinfo
generated/
keys/

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# 🎯 BUILD: BuildMyMCPServer — Production-Ready SaaS
> **Master Prompt für Claude Code**
> Mission: Baue eine komplette, deploy-ready SaaS-Plattform die aus einem natürlichsprachigen Prompt einen vollständig gehosteten, OAuth-2.1-geschützten MCP-Server (Model Context Protocol) erzeugt, deployed und verwaltet. Endkunden konfigurieren ihn in Claude Desktop, Cursor oder ChatGPT mit einem Klick.
---
## 1. PROJECT IDENTITY & POSITIONING
**Produktname:** BuildMyMCPServer
**Domain:** buildmymcpserver.com (bzw. die spätere gewählte Variante)
**Tagline:** *"Describe your tool. We host the server. AI uses it."*
**Untertitel:** *"From prompt to production MCP server in 60 seconds. OAuth 2.1, Streamable HTTP, ready for Claude, Cursor & ChatGPT."*
**Zielgruppe primär:** B2B Mid-Market — Operations Leads, Solo-Founder, Tech-Teams in KMUs, Agenturen die für Kunden MCP-Server bauen, interne Tooling-Teams in Enterprise.
**Pricing-Anker (im UI sichtbar):**
- **Hobby:** €0 — 1 Server, 100k Tool-Calls/Mo, geteilte Infra, BMM-Subdomain
- **Pro:** €49/Mo — 5 Server, 1M Calls, Custom Domain, Priority Build
- **Team:** €149/Mo — 25 Server, 10M Calls, RBAC, Audit-Logs, SLA 99.9%
- **Enterprise:** ab €499/Mo — Unlimited, BYOC, SSO/SAML, dedicated Cluster
**Brand-Voice:** Technisch, präzise, ohne Marketing-BS. "It's infrastructure, not magic." Dunkel & monochrom mit einem präzisen Akzent. Kein lila Gradient, kein "AI sparkle". Inspiration: Linear, Vercel, Resend, Railway. **Native-feel, kein generisches AI-Wrapper-UI.**
---
## 2. TECH-STACK (fest, nicht verhandelbar)
### Monorepo (Turborepo + pnpm)
```
buildmymcpserver/
├── apps/
│ ├── web/ # Next.js 15 (App Router) — Marketing + Dashboard
│ ├── api/ # Fastify Backend (Control Plane)
│ ├── generator/ # Generation-Worker (BullMQ-Consumer)
│ └── runner-template/ # Template für gehostete MCP-Server-Container
├── packages/
│ ├── db/ # Drizzle ORM + PostgreSQL Schema
│ ├── mcp-templates/ # Code-Templates für generierte Server
│ ├── ui/ # Shared shadcn/ui components
│ ├── auth/ # Better-Auth wrapper
│ └── types/ # Shared TypeScript types (Zod)
├── infra/
│ ├── docker/ # Dockerfiles
│ ├── coolify/ # Coolify-Konfigurationen
│ └── traefik/ # Reverse-Proxy-Config
└── turbo.json
```
### Stack-Entscheidungen (final)
**Frontend Web:**
- Next.js 15 (App Router, RSC, Server Actions)
- TypeScript (strict mode)
- Tailwind CSS v4
- shadcn/ui (registry-mode, nur was wir brauchen)
- Lucide-React (icons)
- Framer Motion (sparingly — nur für state-transitions)
- next-themes (dark default, light optional)
**Backend:**
- Fastify (statt Express — schneller, besseres TS)
- Drizzle ORM
- PostgreSQL 16
- Redis 7 (BullMQ-Queue + Sessions)
- Better-Auth (Auth-Layer — User-Auth NICHT MCP-OAuth)
- Stripe (Subscriptions + Metered-Billing)
**MCP-Generierung:**
- Anthropic Claude API (claude-opus-4-7 für Generation, claude-haiku-4-5 für Fixes)
- `@modelcontextprotocol/sdk` v1.x (TypeScript) als Basis-Library für generierte Server
- Zod für Tool-Input-Validation
- esbuild für Build-Pipeline
**Hosting / Runtime:**
- Coolify (auf Hetzner Dedicated AX52) — Container-Orchestrator
- Docker (jeder Kunden-MCP-Server = eigener Container)
- Traefik (Reverse-Proxy + automatic SSL via Let's Encrypt + per-customer subdomains)
- Cloudflare (DNS + DDoS + Cache vor Web)
**Transport für generierte MCP-Server:**
- **Streamable HTTP** (Stand 2025-11-25 spec) — der einzige Standard heute
- KEIN SSE (deprecated seit 2025-06-18)
- Stateless-ready (Sessions in Redis falls nötig, default stateless)
- OAuth 2.1 + PKCE + Dynamic Client Registration + Resource Indicators (RFC 8707)
- `.well-known/oauth-protected-resource` Discovery Endpoint
- `.well-known/oauth-authorization-server` (OAuth Authorization Server Metadata, RFC 8414)
**Observability:**
- OpenTelemetry (OTel Collector → Grafana/Loki/Tempo Self-hosted)
- BetterStack für Uptime-Pings
- Sentry für Frontend + Backend Errors
**CI/CD:**
- GitHub Actions
- Docker-Build → Push zu GHCR
- Coolify Webhook für Auto-Deploy
---
## 3. SYSTEM-ARCHITEKTUR (so funktioniert das Ganze)
```
┌─────────────────────────────────────────────────────────────┐
│ END USER │
│ (uses Claude Desktop / Cursor / ChatGPT to call MCP tools) │
└──────────────────────────┬──────────────────────────────────┘
│ Streamable HTTP + OAuth 2.1
┌─────────────────────────────────────────────────────────────┐
│ TRAEFIK (per-customer routing) │
│ {slug}.mcp.buildmymcpserver.com → container │
└──────────────────────────┬──────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ KUNDEN-MCP-SERVER (Docker Container, 1 pro Server) │
│ - Generierter Code aus Template + Claude-Output │
│ - @modelcontextprotocol/sdk
│ - OAuth 2.1 Resource Server │
│ - Connects to: Customer's APIs, DBs, etc. │
└──────────────────────────┬──────────────────────────────────┘
│ (logs, metrics)
┌─────────────────────────────────────────────────────────────┐
│ CONTROL PLANE (Fastify API) │
│ - User-Auth (Better-Auth) │
│ - Server-CRUD │
│ - Generation-Job-Queue (BullMQ) │
│ - Container-Orchestrierung (Coolify API) │
│ - Billing (Stripe webhooks) │
│ - Tool-Call-Metering (für Usage-based-Billing) │
└──────────────────────────┬──────────────────────────────────┘
┌────────────┼────────────┐
▼ ▼ ▼
┌────────┐ ┌──────────┐ ┌──────────┐
│Postgres│ │ Redis │ │ Coolify │
└────────┘ └──────────┘ └──────────┘
┌─────────────────────────────────────────────────────────────┐
│ CUSTOMER (Marco's User) — uses Web Dashboard │
│ Next.js 15 Dashboard: │
│ - Prompt to build a new MCP server │
│ - Watch generation stream in real-time │
│ - Manage existing servers (logs, restart, edit) │
│ - Install instructions for Claude/Cursor/ChatGPT │
└─────────────────────────────────────────────────────────────┘
```
**Kritischer Flow — "Prompt to Live Server":**
1. User loggt sich ins Dashboard ein, klickt "New MCP Server"
2. Gibt Prompt ein: *"Create an MCP server that queries my Postgres DB at db.example.com with read-only access to the users and orders tables"*
3. UI fragt strukturiert nach: API endpoints, secrets needed, scopes, tool names
4. Backend pusht Job in BullMQ Queue
5. Generator-Worker:
- Lädt MCP-Template
- Ruft Claude API mit System-Prompt + User-Spezifikation
- Parst generierte Tools/Resources/Prompts (Zod-validated)
- Schreibt fertigen TypeScript-Code
- Baut Docker-Image via `docker buildx`
- Pusht zu interner Registry
- Triggert Coolify-Deployment auf `{slug}.mcp.buildmymcpserver.com`
- Streamt Status (queued → generating → building → deploying → live) via Server-Sent-Events ans Dashboard
6. User sieht Live-URL + Copy-Paste-Snippets für:
- **Claude Desktop:** `claude_desktop_config.json` Eintrag
- **Cursor:** `mcp.json` Eintrag
- **ChatGPT Custom Connector:** URL + OAuth-Setup
7. Erster Tool-Call vom End-User → Traefik → Container → Tool → Response → Metric in Redis → später aggregiert in Postgres für Billing
---
## 4. DATABASE SCHEMA (Drizzle, vollständig)
```typescript
// packages/db/schema.ts
import { pgTable, uuid, varchar, text, timestamp, jsonb, boolean, integer, bigint, index, pgEnum } from 'drizzle-orm/pg-core';
export const planEnum = pgEnum('plan', ['hobby', 'pro', 'team', 'enterprise']);
export const serverStatusEnum = pgEnum('server_status', ['draft', 'queued', 'generating', 'building', 'deploying', 'live', 'failed', 'paused']);
export const buildStatusEnum = pgEnum('build_status', ['queued', 'running', 'success', 'failed', 'cancelled']);
// Tenant/Org-Modell — auch wenn Single-User, baust du es Org-fähig (kein Refactor später)
export const organizations = pgTable('organizations', {
id: uuid('id').defaultRandom().primaryKey(),
slug: varchar('slug', { length: 64 }).notNull().unique(),
name: varchar('name', { length: 128 }).notNull(),
plan: planEnum('plan').default('hobby').notNull(),
stripeCustomerId: varchar('stripe_customer_id', { length: 128 }),
stripeSubscriptionId: varchar('stripe_subscription_id', { length: 128 }),
monthlyCallQuota: bigint('monthly_call_quota', { mode: 'number' }).default(100_000),
callsThisPeriod: bigint('calls_this_period', { mode: 'number' }).default(0),
periodStartsAt: timestamp('period_starts_at').defaultNow(),
createdAt: timestamp('created_at').defaultNow().notNull(),
});
export const users = pgTable('users', {
id: uuid('id').defaultRandom().primaryKey(),
email: varchar('email', { length: 255 }).notNull().unique(),
name: varchar('name', { length: 128 }),
avatarUrl: text('avatar_url'),
createdAt: timestamp('created_at').defaultNow().notNull(),
});
export const memberships = pgTable('memberships', {
id: uuid('id').defaultRandom().primaryKey(),
orgId: uuid('org_id').references(() => organizations.id, { onDelete: 'cascade' }).notNull(),
userId: uuid('user_id').references(() => users.id, { onDelete: 'cascade' }).notNull(),
role: varchar('role', { length: 32 }).default('owner').notNull(), // owner | admin | member | viewer
createdAt: timestamp('created_at').defaultNow().notNull(),
});
export const mcpServers = pgTable('mcp_servers', {
id: uuid('id').defaultRandom().primaryKey(),
orgId: uuid('org_id').references(() => organizations.id, { onDelete: 'cascade' }).notNull(),
slug: varchar('slug', { length: 64 }).notNull(), // becomes subdomain
name: varchar('name', { length: 128 }).notNull(),
description: text('description'),
status: serverStatusEnum('status').default('draft').notNull(),
currentVersion: integer('current_version').default(0),
containerId: varchar('container_id', { length: 128 }), // Coolify ref
publicUrl: text('public_url'), // https://{slug}.mcp.buildmymcpserver.com
toolsSchema: jsonb('tools_schema'), // generated tools metadata
oauthEnabled: boolean('oauth_enabled').default(true),
createdAt: timestamp('created_at').defaultNow().notNull(),
updatedAt: timestamp('updated_at').defaultNow().notNull(),
}, (table) => ({
orgSlugIdx: index('idx_servers_org_slug').on(table.orgId, table.slug),
}));
export const builds = pgTable('builds', {
id: uuid('id').defaultRandom().primaryKey(),
serverId: uuid('server_id').references(() => mcpServers.id, { onDelete: 'cascade' }).notNull(),
version: integer('version').notNull(),
prompt: text('prompt').notNull(),
generatedCode: text('generated_code'),
status: buildStatusEnum('status').default('queued').notNull(),
errorMessage: text('error_message'),
startedAt: timestamp('started_at'),
finishedAt: timestamp('finished_at'),
createdAt: timestamp('created_at').defaultNow().notNull(),
});
export const secrets = pgTable('secrets', {
id: uuid('id').defaultRandom().primaryKey(),
serverId: uuid('server_id').references(() => mcpServers.id, { onDelete: 'cascade' }).notNull(),
key: varchar('key', { length: 128 }).notNull(),
encryptedValue: text('encrypted_value').notNull(), // AES-256-GCM, key in env
createdAt: timestamp('created_at').defaultNow().notNull(),
});
// Per-customer OAuth clients (für Dynamic Client Registration)
export const oauthClients = pgTable('oauth_clients', {
id: uuid('id').defaultRandom().primaryKey(),
serverId: uuid('server_id').references(() => mcpServers.id, { onDelete: 'cascade' }).notNull(),
clientId: varchar('client_id', { length: 128 }).notNull().unique(),
clientSecretHash: text('client_secret_hash'), // bcrypt
redirectUris: jsonb('redirect_uris').notNull(), // string[]
metadata: jsonb('metadata'), // RFC 7591 client metadata
createdAt: timestamp('created_at').defaultNow().notNull(),
});
export const oauthTokens = pgTable('oauth_tokens', {
id: uuid('id').defaultRandom().primaryKey(),
clientId: uuid('client_id').references(() => oauthClients.id, { onDelete: 'cascade' }).notNull(),
accessTokenHash: text('access_token_hash').notNull(),
refreshTokenHash: text('refresh_token_hash'),
scope: text('scope'),
expiresAt: timestamp('expires_at').notNull(),
createdAt: timestamp('created_at').defaultNow().notNull(),
});
export const toolCallMetrics = pgTable('tool_call_metrics', {
id: uuid('id').defaultRandom().primaryKey(),
serverId: uuid('server_id').references(() => mcpServers.id).notNull(),
toolName: varchar('tool_name', { length: 128 }).notNull(),
durationMs: integer('duration_ms'),
success: boolean('success').notNull(),
errorCode: varchar('error_code', { length: 64 }),
timestamp: timestamp('timestamp').defaultNow().notNull(),
}, (table) => ({
serverTimeIdx: index('idx_metrics_server_time').on(table.serverId, table.timestamp),
}));
export const auditLog = pgTable('audit_log', {
id: uuid('id').defaultRandom().primaryKey(),
orgId: uuid('org_id').references(() => organizations.id),
userId: uuid('user_id').references(() => users.id),
action: varchar('action', { length: 128 }).notNull(),
resourceType: varchar('resource_type', { length: 64 }),
resourceId: varchar('resource_id', { length: 128 }),
metadata: jsonb('metadata'),
ipAddress: varchar('ip_address', { length: 64 }),
createdAt: timestamp('created_at').defaultNow().notNull(),
});
```
---
## 5. UI/UX — DAS MUSS NATIVE-FEEL HABEN
### Design-Prinzipien
1. **Monochrom mit Akzent.** Background `#0A0A0B` (fast schwarz aber nicht). Foreground `#FAFAFA`. Border `#1F1F22`. Akzentfarbe: ein präzises **Electric Indigo `#6366F1`** sparingly für CTAs und Status-Live. Kein Lila-Gradient.
2. **Geometric Sans + Mono.** `Geist` für UI, `Geist Mono` für Code/IDs/URLs.
3. **Tight Density.** Padding 12-16px nicht 24-32px. Compact-feeling wie Linear/Vercel-Dashboard.
4. **Reduced motion.** Nur Skeleton-Loads und State-Changes animieren (200ms ease-out). Keine "hero-spinners".
5. **Code als Hero.** Jede Page hat irgendwo einen Code-Block (Copy-Button immer rechts oben).
6. **Status-Pills.** `live` = green dot pulsing, `building` = amber spinner, `failed` = red, `draft` = grey.
### Pages (komplett)
**Marketing (apps/web/app):**
1. **`/` (Landing):**
- Hero: Großes Heading *"Describe your tool. We host the server."*, Subline, ein Code-Block der einen Prompt zeigt + Output-Snippet (animiertes Typing-Demo, nicht Video, in HTML).
- "How it works" — 3 Steps mit jeweils einem kleinen Screenshot/Code-Block.
- "Works with" — Logos: Claude, Cursor, ChatGPT, VS Code Copilot, Continue.dev.
- "Examples" — Grid mit 6 Use-Cases (Postgres, Salesforce, Notion, GitHub, Stripe, Custom REST).
- Pricing (4 Tiers, transparent, kein "Contact us" außer Enterprise).
- FAQ (12 Fragen: Was ist MCP, Brauche ich OAuth, Welche AI-Tools, Kann ich self-hosten, Was passiert wenn ich kündige, Custom Domain, etc.).
- Footer: Status, Docs, GitHub (wenn open-source-Teile), Security/SOC2-roadmap, Privacy, Terms.
2. **`/docs/*`** — MDX-basiert, schmaler 280px Sidebar, max-w-prose, Search via Pagefind. Bereiche: Quickstart, Concepts (Tools, Resources, Prompts, OAuth), Recipes, API-Reference, Self-Hosting-Guide.
3. **`/changelog`** — MDX timeline.
4. **`/pricing`** — wenn aus Landing rausgezogen werden soll.
**Dashboard (apps/web/app/(dashboard)):**
5. **`/dashboard`** — Übersicht. Cards: Servers (Anzahl + Status), Calls this period (Progress-Bar vs Quota), Recent Builds, Quick-Action "New Server".
6. **`/servers`** — Liste aller MCP-Server. Tabelle mit Name, Status, Calls (24h), Last Build, Actions. Filter + Search.
7. **`/servers/new`** — DER WIZARD. Drei-Step:
- Step 1: Prompt-Eingabe (Textarea mit Beispiel-Prompts als Chips drumherum: *"Postgres reader"*, *"Notion search"*, *"Custom REST API"*).
- Step 2: Strukturierte Confirmation. Claude hat parsed, zeigt: Tool-Liste, Required Secrets (Input-Felder, encrypted save), Optional Scopes.
- Step 3: Deploy. Live-Stream der Build-Logs (Server-Sent Events von der API). Bei Success: Live-URL + 3 Tabs (Claude Desktop, Cursor, ChatGPT) mit copy-ready Config-Snippets.
8. **`/servers/[id]`** — Server-Detail mit Tabs:
- **Overview:** Status, URL, OAuth-Status, Quick-Install-Configs
- **Tools:** Liste der exposed Tools mit Schemas
- **Logs:** Streaming-Logs (Server-Sent Events, last 1000 lines)
- **Metrics:** Charts (Calls/h, Latency P50/P95/P99, Error-Rate) — Recharts
- **Secrets:** Manage env-vars (verschlüsselt)
- **Iterate:** Neuer Prompt um Server zu erweitern (= neuer Build, neue Version)
- **Settings:** Rename, Custom Domain (Pro+), Pause, Delete
9. **`/settings`** — Org/User-Settings, Billing (Stripe Customer Portal embed), API Keys (für CLI), Team Members (Team+).
10. **`/audit`** — Audit Log (Team+).
### Komponenten-Library
Use shadcn/ui registry, install only: `button`, `card`, `dialog`, `dropdown-menu`, `input`, `label`, `select`, `separator`, `sheet`, `table`, `tabs`, `toast`, `tooltip`, `badge`, `skeleton`, `progress`, `command` (für CMD+K). Custom: `<CodeBlock>` mit Shiki highlighting + Copy-Button, `<StatusPill>` mit Animations, `<StreamingLogs>`.
---
## 6. MCP-GENERIERUNGS-PIPELINE (das Kernstück)
### Template (apps/runner-template/src/server.ts)
Ein parametrisiertes Template das die Generation füllt:
```typescript
// THIS IS A TEMPLATE — values in {{ }} get replaced by generator
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js";
import { z } from "zod";
import Fastify from "fastify";
import { createRemoteJWKSet, jwtVerify } from "jose";
const server = new McpServer({
name: "{{SERVER_NAME}}",
version: "{{SERVER_VERSION}}",
});
// {{TOOL_REGISTRATIONS}}
// Generated tools go here, e.g.:
// server.tool("query_users", "...", { id: z.string() }, async ({ id }) => { ... });
// {{RESOURCE_REGISTRATIONS}}
// {{PROMPT_REGISTRATIONS}}
const app = Fastify({ logger: { level: 'info' } });
// OAuth 2.1 Protected Resource Metadata (RFC 9728)
app.get('/.well-known/oauth-protected-resource', async () => ({
resource: process.env.PUBLIC_URL,
authorization_servers: [`${process.env.PUBLIC_URL}/oauth`],
bearer_methods_supported: ['header'],
resource_documentation: `${process.env.PUBLIC_URL}/docs`,
scopes_supported: {{SCOPES_JSON}},
}));
// OAuth Authorization Server Metadata (RFC 8414)
app.get('/.well-known/oauth-authorization-server', async () => ({
issuer: `${process.env.PUBLIC_URL}/oauth`,
authorization_endpoint: `${process.env.PUBLIC_URL}/oauth/authorize`,
token_endpoint: `${process.env.PUBLIC_URL}/oauth/token`,
registration_endpoint: `${process.env.PUBLIC_URL}/oauth/register`,
response_types_supported: ['code'],
grant_types_supported: ['authorization_code', 'refresh_token'],
code_challenge_methods_supported: ['S256'],
token_endpoint_auth_methods_supported: ['client_secret_basic', 'client_secret_post', 'none'],
}));
// OAuth endpoints (delegated to control-plane via internal RPC, or local for stateless)
// {{OAUTH_HANDLERS}}
// MCP Streamable HTTP endpoint
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined, // stateless mode
});
app.all('/mcp', async (request, reply) => {
// Validate bearer token (OAuth 2.1 Resource Server)
const auth = request.headers.authorization;
if (!auth?.startsWith('Bearer ')) {
return reply
.code(401)
.header('WWW-Authenticate', `Bearer resource_metadata="${process.env.PUBLIC_URL}/.well-known/oauth-protected-resource"`)
.send({ error: 'unauthorized' });
}
const token = auth.slice(7);
try {
const JWKS = createRemoteJWKSet(new URL(`${process.env.CONTROL_PLANE_URL}/oauth/jwks`));
const { payload } = await jwtVerify(token, JWKS, {
issuer: `${process.env.PUBLIC_URL}/oauth`,
audience: process.env.PUBLIC_URL,
});
// RFC 8707 Resource Indicators check
if (payload.aud !== process.env.PUBLIC_URL) {
return reply.code(403).send({ error: 'invalid_audience' });
}
} catch (e) {
return reply.code(401).send({ error: 'invalid_token' });
}
// Forward to MCP transport
await transport.handleRequest(request.raw, reply.raw, request.body);
});
await server.connect(transport);
await app.listen({ port: parseInt(process.env.PORT || '3000'), host: '0.0.0.0' });
```
### Generator-Worker Logic
```typescript
// apps/generator/src/worker.ts (Pseudocode-Skelett)
import { Worker } from 'bullmq';
import Anthropic from '@anthropic-ai/sdk';
const SYSTEM_PROMPT = `You are an expert TypeScript engineer generating production MCP servers.
Output ONLY a JSON object with this exact schema:
{
"tools": [
{
"name": "snake_case_name",
"description": "Clear description for the AI client",
"inputSchema": { /* JSON Schema, strict types */ },
"implementation": "async ({ args }) => { /* full TypeScript body */ }"
}
],
"resources": [...],
"prompts": [...],
"requiredSecrets": ["API_KEY", "DATABASE_URL"],
"scopes": ["read:users", "write:orders"],
"dependencies": { "pg": "^8.13.0" }
}
Rules:
- Use Zod for parameter schemas, NOT JSON Schema directly
- All implementations MUST be async, MUST handle errors, MUST return MCP content blocks
- NEVER use eval, exec, fs writes outside /tmp
- NEVER hardcode secrets — use process.env.{SECRET_NAME}
- Validate all inputs with Zod before use
- Return errors as { content: [{ type: "text", text: "Error: ..." }], isError: true }
- For databases: use parameterized queries ONLY
- For external APIs: implement retry with exponential backoff
- Each tool must be idempotent OR clearly state it is destructive in description
`;
new Worker('build', async (job) => {
const { serverId, prompt, orgId } = job.data;
// 1. Generate with Claude
const anthropic = new Anthropic();
const response = await anthropic.messages.create({
model: 'claude-opus-4-7',
max_tokens: 8192,
system: SYSTEM_PROMPT,
messages: [{ role: 'user', content: prompt }],
});
// 2. Parse + Validate output (Zod schema for the generator output itself)
const spec = parseAndValidate(response.content[0].text);
// 3. Inject into template
const code = renderTemplate(spec);
// 4. Run static checks (tsc --noEmit on generated code, lint, basic sandbox-test)
await runStaticChecks(code);
// 5. Build Docker image
const imageTag = `mcp-${serverId}:v${version}`;
await dockerBuild(code, imageTag, spec.dependencies);
// 6. Deploy via Coolify API
await coolify.deploy({
image: imageTag,
subdomain: `${serverSlug}.mcp.buildmymcpserver.com`,
env: secrets,
healthcheck: '/health',
});
// 7. Update DB, emit SSE to dashboard
await db.update(mcpServers).set({ status: 'live', publicUrl: '...' }).where(...);
await redis.publish(`build:${serverId}`, JSON.stringify({ status: 'live' }));
}, { connection: redis });
```
### Sandboxing & Sicherheit (NON-NEGOTIABLE)
- Container laufen mit `--read-only` Filesystem (außer `/tmp` mit Quota)
- `--cap-drop=ALL`, `--security-opt=no-new-privileges`
- CPU-Limit 0.5 cores, Memory 512MB pro Container default
- Network-Egress nur zu whitelisted Domains (definiert via Tool-Spec)
- Keine SSH, kein Shell in den Containern
- Secrets via Docker Secrets / Coolify Env-Vars (verschlüsselt at rest mit AES-256-GCM in Postgres, KMS-Key in Hetzner Vault oder Doppler)
- Rate-Limit pro Tool-Call (default 100/min/IP, configurable)
- Prompt-Injection-Defense: Generierte Tool-Descriptions werden auf gefährliche Patterns gescannt (z.B. "ignore previous instructions" → reject build)
---
## 7. PFLICHT-FEATURES FÜR PRODUCTION
### MUST-HAVE (MVP-Cut)
- [ ] Auth (Email-Magic-Link + GitHub-OAuth via Better-Auth)
- [ ] Org-Management mit RBAC
- [ ] Server-CRUD
- [ ] Prompt-to-Server Wizard mit Live-Build-Stream
- [ ] Secret-Management (encrypted)
- [ ] OAuth-2.1-Server-Implementation für jeden generierten MCP
- [ ] Streamable HTTP Transport in jedem Generated Server
- [ ] Stripe-Billing (Pro/Team-Subs + Metered Overage)
- [ ] Tool-Call-Metering + Quota-Enforcement
- [ ] Server Detail mit Logs/Metrics
- [ ] Install-Snippets für Claude Desktop, Cursor, ChatGPT
- [ ] Marketing-Landing
- [ ] Docs-Site (10+ Pages)
- [ ] Status-Page
- [ ] Audit-Log
- [ ] Health-Checks + Auto-Restart bei Failure
- [ ] Backups (DB + Server-Configs daily zu Backblaze B2)
### SHOULD-HAVE (Phase 2, nach erstem zahlenden Kunden)
- [ ] CLI (`buildmymcp init`, `deploy`, `logs`)
- [ ] GitHub-Repo-Sync (Server-Code in Customer's Repo pushen für Transparenz/Audit)
- [ ] Template-Marketplace (Pre-Built MCP-Server für gängige Tools)
- [ ] Custom-Domain per Server (CNAME-Validation)
- [ ] Team-Member-Invites
- [ ] Webhooks für Build-Events
- [ ] SSO/SAML für Enterprise
### NICE-TO-HAVE (Phase 3)
- [ ] BYOC (Bring Your Own Cloud — Deploy in Customer's AWS/GCP/Azure)
- [ ] MCP-Registry-Publishing (Servers public listen)
- [ ] AI-Powered Test-Generation (Tests für jeden generierten Tool)
- [ ] Multi-Region Deployment
---
## 8. DEPLOYMENT (production-ready ab Tag 1)
### Hetzner-Setup
- **1× AX52 Dedicated** (€59/Mo): 16 Cores / 64GB RAM — running Coolify + Postgres + Redis + Generator + Customer-Containers (capacity: ~300-500 small MCP-Server)
- **1× CX22 Cloud** (€5/Mo) als Backup-Target + Status-Page
- **Cloudflare Free Plan** für DNS + DDoS
- **Backblaze B2** für DB-Backups (~€1/Mo bis 10GB)
### Domains-Plan
- `buildmymcpserver.com` — Marketing + Dashboard
- `api.buildmymcpserver.com` — Control-Plane API
- `*.mcp.buildmymcpserver.com` — Customer MCP-Server (Wildcard SSL via Let's Encrypt DNS challenge mit Cloudflare API)
- `docs.buildmymcpserver.com` (oder /docs auf Hauptdomain)
- `status.buildmymcpserver.com` (BetterStack hosted)
### Environment-Variables (.env.example)
```
# Control Plane
DATABASE_URL=postgresql://...
REDIS_URL=redis://...
BETTER_AUTH_SECRET=
BETTER_AUTH_URL=https://buildmymcpserver.com
GITHUB_OAUTH_ID=
GITHUB_OAUTH_SECRET=
STRIPE_SECRET_KEY=
STRIPE_WEBHOOK_SECRET=
STRIPE_PRICE_PRO=
STRIPE_PRICE_TEAM=
ANTHROPIC_API_KEY=
SECRETS_ENCRYPTION_KEY= # 32 bytes hex, AES-256-GCM
COOLIFY_API_URL=https://coolify.internal/...
COOLIFY_API_TOKEN=
TRAEFIK_API_URL=
CLOUDFLARE_API_TOKEN=
SENTRY_DSN=
OTEL_EXPORTER_OTLP_ENDPOINT=
# Per-MCP-Container (injected by generator/coolify)
PUBLIC_URL=https://{slug}.mcp.buildmymcpserver.com
CONTROL_PLANE_URL=https://api.buildmymcpserver.com
SERVER_ID=
PORT=3000
```
### CI/CD (GitHub Actions)
- `pnpm typecheck` (alle Pakete, strict)
- `pnpm test` (Vitest)
- `pnpm lint` (eslint + biome)
- `pnpm build` (turbo)
- Docker-Build mit cache
- Push zu GHCR
- Coolify-Webhook trigger
- Smoke-Test gegen Staging
- Promote zu Prod
---
## 9. WAS DU IN DIESER REIHENFOLGE BAUST
**Sprint 1 (Woche 1): Foundation**
1. Monorepo-Setup (turbo, pnpm, tsconfig, biome, prettier)
2. DB-Schema + Drizzle-Migrations
3. Better-Auth-Setup mit Magic-Link + GitHub
4. Web-App-Shell (Layout, Theme, Auth-Pages, leeres Dashboard)
5. Marketing-Landing (Hero, Pricing, FAQ — kann statisch)
**Sprint 2 (Woche 2): Generation-Pipeline**
6. MCP-Template (apps/runner-template) — fertig lauffähig stdio + Streamable HTTP
7. Generator-Worker mit BullMQ + Claude-API-Call
8. Static-Checks-Pipeline (tsc, lint, security-scan)
9. Docker-Build-Pipeline (lokal mit buildx)
10. Coolify-API-Integration zum Deploy
**Sprint 3 (Woche 3): OAuth + Dashboard**
11. OAuth-2.1-Implementation (Control-Plane als Authorization Server, Per-Server-Container als Resource Server)
12. JWKS Endpoint + Token-Signing (asymmetric, RS256)
13. Dashboard: New-Server-Wizard mit Live-SSE-Stream
14. Server-Detail-Page mit Logs/Metrics
15. Install-Snippets-Generator (Claude/Cursor/ChatGPT-Configs)
**Sprint 4 (Woche 4): Billing + Production**
16. Stripe-Integration (Subscriptions, Webhooks, Metered Usage)
17. Quota-Enforcement
18. Audit-Log
19. Docs-Site (10+ MDX-Pages)
20. Status-Page-Integration
21. Backup-Cron
22. End-to-End Smoke-Test
23. Production-Deploy
---
## 10. ACCEPTANCE CRITERIA — WANN BIST DU FERTIG
✅ User kann sich registrieren, einloggen, sieht ein leeres Dashboard.
✅ User klickt "New Server", gibt Prompt ein wie *"Create an MCP server that exposes a 'search_docs' tool which queries my Notion via API"*, gibt Notion-API-Key ein, sieht Build-Stream live.
✅ Nach <90 Sekunden: Live-URL `xyz.mcp.buildmymcpserver.com/mcp` ist erreichbar, return 401 ohne Token, 200 mit gültigem Token.
✅ User kopiert Snippet in `claude_desktop_config.json`, startet Claude Desktop neu, OAuth-Flow geht durch, Tool ist verfügbar in Claude.
✅ User stellt Frage in Claude die `search_docs` triggert, Result kommt zurück, Call wird in Dashboard-Metrics gezählt.
✅ User kann den Server iterieren ("Add a 'create_page' tool"), neue Version wird gebaut, ohne dass die alte runtergeht (rolling deploy).
✅ Stripe-Checkout für Pro-Plan funktioniert, Quota wird angehoben.
✅ Bei Quota-Überschreitung: HTTP 429 + Hinweis im Dashboard.
✅ Logs streamen in Echtzeit ins Dashboard.
✅ Audit-Log zeigt alle Aktionen.
✅ Lighthouse: 95+ auf allen Marketing-Pages, 90+ auf Dashboard.
✅ TypeScript strict, 0 `any`, 0 unused imports, biome-clean.
✅ Sentry erfasst Errors, OTel-Traces gehen durch.
✅ DB-Backup läuft täglich automatisch.
✅ Generated Server bestehen das offizielle MCP-Test-Suite (`mcp-inspector` + Anthropic's Reference-Client).
---
## 11. WAS DU NIEMALS TUN DARFST
❌ KEIN `eval()` oder `Function()` im Generator-Worker für generierten Code — immer durch Static-Build-Pipeline.
❌ KEIN Sharing von Containern zwischen Kunden — 1 Server = 1 Container = 1 Isolation-Boundary.
❌ KEINE Plain-Text-Secrets in DB — immer AES-256-GCM verschlüsselt.
❌ KEINE Verwendung von deprecated SSE-Transport — nur Streamable HTTP.
❌ KEINE Token-Pass-Through (Spec verbietet es ausdrücklich) — du musst Token-Exchange machen wenn der MCP-Server downstream-APIs aufruft.
❌ KEINE Storage von OAuth-Access-Tokens im Klartext — nur Hashes für Verification.
❌ KEIN `*` als CORS — explizit pro Server konfigurieren.
❌ KEIN automatisches Deploy von generated Code ohne Static-Checks — wenn Checks failen, Build = failed, klare Error-Message.
❌ KEIN Branding wie "Powered by Claude" oder ähnliches im Marketing — du bist eine eigenständige Plattform, kein Anthropic-Wrapper.
❌ KEIN "AI-Sparkle-Design" — Linear/Vercel-Style. Boring on the outside, magic on the inside.
---
## 12. REFERENCES (FÜR DICH, CLAUDE CODE, IM ZWEIFELSFALL CHECKEN)
- MCP Spec: https://modelcontextprotocol.io/specification/2025-11-25/
- MCP Authorization: https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization
- TypeScript SDK: https://github.com/modelcontextprotocol/typescript-sdk
- FastMCP (alternative wrapper, optional): https://github.com/punkpeye/fastmcp
- OAuth 2.1: https://datatracker.ietf.org/doc/draft-ietf-oauth-v2-1/
- RFC 8414 (Auth Server Metadata): https://datatracker.ietf.org/doc/html/rfc8414
- RFC 9728 (Protected Resource Metadata): https://datatracker.ietf.org/doc/html/rfc9728
- RFC 8707 (Resource Indicators): https://datatracker.ietf.org/doc/html/rfc8707
- RFC 7591 (Dynamic Client Registration): https://datatracker.ietf.org/doc/html/rfc7591
- Coolify Docs: https://coolify.io/docs
- Drizzle ORM: https://orm.drizzle.team/
---
## 13. START
Lies diese Spec komplett durch. Stelle Rückfragen wenn etwas mehrdeutig ist. Beginne dann mit Sprint 1, Task 1: Monorepo-Setup. Commit nach jedem abgeschlossenen Task mit conventional-commits-Format (`feat:`, `fix:`, `chore:`, `docs:`).
Wenn du an einem Punkt unsicher bist über die MCP-Spec, **fetche die offizielle Doku, rate nicht aus dem Speicher.** Die Spec ändert sich noch häufig.
**Build it like infrastructure, not like a demo. Production-grade from line 1.**
Let's go.

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# CHOICES.md
Decisions made during the autonomous Sprints 13 build where the spec was ambiguous or
where production-quality required a concrete pick.
## Stream transport: WebSocket over SSE
Spec lists both in different sections. The user's goal explicitly says
"WebSocket-streamed build flow", so the dashboard subscribes to build events via
`/v1/builds/:id/stream` WebSocket on the control-plane API. Generator-worker publishes
events to Redis pub/sub; API fans out per-WebSocket subscriber.
## Local container deploy (no Coolify in dev)
Spec targets Coolify on Hetzner for production. In dev the generator spawns containers
directly via the local Docker daemon (Docker Engine API on `/var/run/docker.sock` or
`npipe:////./pipe/docker_engine` on Windows). Each generated server gets a host port from
the `RUNNER_PORT_RANGE_*` window and is exposed at `http://localhost:<port>`. The
`coolify` adapter is interface-compatible so swapping in for production is a single import.
## Local addressing: ports not wildcard subdomains
`*.mcp.buildmymcpserver.com` requires DNS + Traefik + wildcard SSL — pointless on
localhost. Dev uses `http://localhost:<port>` for each generated container. Production
Traefik routing is wired but unused by `pnpm dev`.
## OAuth 2.1 Authorization Server lives in the control plane
The runner-template is a Resource Server only. The control-plane API is the AS:
issues codes, exchanges tokens, signs RS256 JWTs, exposes JWKS. Each generated server
verifies tokens against `${CONTROL_PLANE_URL}/oauth/jwks`. This matches the spec's
"token exchange not pass-through" mandate.
## Better-Auth: email magic link via console transport in dev
We wire Better-Auth with the email/password + magic-link plugin. In dev, magic-link
emails are written to the API stdout (so the developer can click them); production
plugs in Resend. GitHub OAuth is configured but only used if env vars are populated.
## Generator: Claude API call gated by env, mock fallback for offline dev
If `ANTHROPIC_API_KEY` is set, the worker calls the real Claude API
(`claude-opus-4-7`). If not, a deterministic mock returns a small "echo" tool so the
end-to-end build flow stays demoable without burning credits. The choice is logged in
build logs so users always know which path ran.
## Static checks: tsc + targeted regex scan
- `tsc --noEmit` on the rendered server code in a tmp dir.
- Regex scan for banned tokens: `eval(`, `Function(`, `child_process`, `fs.unlink`,
prompt-injection markers (`ignore previous instructions`, `disregard the above`).
- esbuild bundle produced for the runner so the image is one file + deps.
## Sandboxing: dev relaxed, prod flags documented
Dev containers run without `--read-only` / `--cap-drop=ALL` because Windows Docker
Desktop refuses some combinations. The production launch flags are baked into
`apps/generator/src/lib/deploy.ts` constants but commented `// prod-only` for clarity.
## ChatGPT install snippet
ChatGPT supports MCP via "Custom GPTs → Actions → Add MCP server" or the
research "Custom Connectors" surface. We render a copy block with `URL`,
`Auth: OAuth 2.1`, and a link to the install-flow page on chat.openai.com. If the
official deep link path changes, only `apps/web/lib/install-snippets.ts` needs editing.
## Tailwind v4 + shadcn registry
Tailwind v4 uses CSS-first config. shadcn components are vendored into
`apps/web/components/ui/*` — only the primitives the spec lists. No drop-in defaults
left untouched: every component has been re-styled against the design tokens.
## Stripe / metering / quotas: scaffolded only in Sprint 13
The schema + types are complete. Wired Stripe checkout / webhooks are Sprint 4
per spec, so we leave a clean seam in `apps/api/src/routes/billing.ts` but do not
implement the flow yet. Quotas are read-only in the dashboard.
## Drizzle: `migrate` strategy
Schema lives in `packages/db/src/schema.ts`. `pnpm db:push` is dev-only and pushes
schema directly. Migrations are generated via `pnpm db:generate` and applied via
`pnpm db:migrate` on first API boot. Local Postgres comes from docker-compose.
## Node 20 LTS, ESM everywhere
All packages are `"type": "module"`. `tsx` runs ts directly in dev. esbuild bundles
for prod. No CJS.
## Conventional commits per task, single branch
Single `main` branch, conventional-commits messages. No PR flow because this is one
autonomous run.

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# BuildMyMCPServer
> Describe your tool. We host the server. AI uses it.
Prompt-to-production MCP servers with OAuth 2.1 and Streamable HTTP.
## Run locally
```bash
# 1. Install deps
pnpm install
# 2. Copy env and fill ANTHROPIC_API_KEY if you want real generation
cp .env.example .env
# 3. Boot everything (postgres, redis, web, api, generator)
pnpm dev
```
Then open:
- Dashboard: <http://localhost:3000>
- API: <http://localhost:4000>
Sign in with the magic link printed to the API stdout, click **New Server**, paste a
prompt, watch the build stream live over WebSocket.
## Architecture
See `BuildMyMCPServer_MASTER_PROMPT.md` for the full spec and `CHOICES.md` for the
decisions made during Sprints 13.
## Workspace layout
```
apps/
web/ Next.js 15 dashboard + marketing
api/ Fastify control plane
generator/ BullMQ worker — Claude → build → deploy
runner-template/ Hosted MCP server template
packages/
db/ Drizzle schema + client
auth/ Better-Auth wrapper
types/ Shared Zod types
ui/ Shared React primitives
```

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{
"$schema": "https://biomejs.dev/schemas/1.9.4/schema.json",
"files": {
"ignore": [
"**/node_modules",
"**/.next",
"**/dist",
"**/.turbo",
"**/drizzle",
"**/.pnpm-store",
"**/build-context"
]
},
"vcs": {
"enabled": true,
"clientKind": "git",
"useIgnoreFile": true
},
"formatter": {
"enabled": true,
"indentStyle": "space",
"indentWidth": 2,
"lineWidth": 100
},
"linter": {
"enabled": true,
"rules": {
"recommended": true,
"suspicious": {
"noExplicitAny": "error",
"noConsoleLog": "off"
},
"style": {
"useImportType": "off",
"useNodejsImportProtocol": "warn"
},
"complexity": {
"noBannedTypes": "warn"
}
}
},
"javascript": {
"formatter": {
"quoteStyle": "single",
"semicolons": "always",
"trailingCommas": "all",
"arrowParentheses": "always"
}
},
"json": {
"formatter": {
"indentWidth": 2
}
}
}

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services:
postgres:
image: postgres:16-alpine
container_name: bmm-postgres
environment:
POSTGRES_USER: bmm
POSTGRES_PASSWORD: bmm
POSTGRES_DB: bmm
ports:
- "5432:5432"
volumes:
- bmm_pg:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U bmm -d bmm"]
interval: 3s
timeout: 3s
retries: 20
redis:
image: redis:7-alpine
container_name: bmm-redis
ports:
- "6379:6379"
volumes:
- bmm_redis:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 3s
timeout: 3s
retries: 20
volumes:
bmm_pg:
bmm_redis:

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{
"name": "buildmymcpserver",
"private": true,
"version": "0.1.0",
"packageManager": "pnpm@9.12.0",
"engines": {
"node": ">=20.11.0"
},
"scripts": {
"dev": "docker compose up -d postgres redis && turbo run dev --parallel",
"dev:no-docker": "turbo run dev --parallel",
"build": "turbo run build",
"typecheck": "turbo run typecheck",
"lint": "biome check .",
"lint:fix": "biome check --write .",
"db:generate": "pnpm --filter @bmm/db run generate",
"db:migrate": "pnpm --filter @bmm/db run migrate",
"db:push": "pnpm --filter @bmm/db run push",
"stop": "docker compose down"
},
"devDependencies": {
"@biomejs/biome": "1.9.4",
"turbo": "2.3.0",
"typescript": "5.7.2"
}
}

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packages:
- "apps/*"
- "packages/*"

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{
"compilerOptions": {
"target": "ES2022",
"lib": ["ES2022", "DOM", "DOM.Iterable"],
"module": "ESNext",
"moduleResolution": "Bundler",
"esModuleInterop": true,
"allowSyntheticDefaultImports": true,
"resolveJsonModule": true,
"isolatedModules": true,
"skipLibCheck": true,
"strict": true,
"noUncheckedIndexedAccess": true,
"noImplicitOverride": true,
"noFallthroughCasesInSwitch": true,
"forceConsistentCasingInFileNames": true,
"verbatimModuleSyntax": false,
"incremental": true
}
}

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{
"$schema": "https://turbo.build/schema.json",
"globalDependencies": [".env", ".env.local"],
"tasks": {
"build": {
"dependsOn": ["^build"],
"outputs": [".next/**", "!.next/cache/**", "dist/**"]
},
"dev": {
"cache": false,
"persistent": true
},
"typecheck": {
"dependsOn": ["^build"],
"outputs": []
},
"lint": {
"outputs": []
}
}
}