vinkius-labs/vurb.ts

## Get Started in 5 Seconds ``` vurb create my-server ``` Open it in Cursor, Claude Code, or GitHub Copilot and prompt: The agent reads the [`SKILL.md`](https://agentskills.io) (or the [`llms.txt`](https://vurb.vinkius.com/llms.txt)) and writes the entire server. First pass — no corrections. One command. Your MCP server is live on **Vinkius Edge**, **Vercel Functions**, or **Cloudflare Workers**. ``` vurb deploy ``` A production-ready MCP server with file-based routing, Presenters, middleware, tests, and pre-configured connections for **Cursor**, **Claude Desktop**, **Claude Code**, **Windsurf**, **Cline**, and **VS Code + GitHub Copilot**. ## Table of Contents - [Zero Learning Curve — Ship a SKILL.md, Not a Tutorial](#zero-learning-curve--ship-a-skillmd-not-a-tutorial) - [Deploy Targets](#deploy-targets) - [Why Vurb.ts Exists](#why-vurb-ts-exists) - [Raw MCP SDK vs. Vurb.ts](#raw-mcp-sdk-vs-vurbts) - [The MVA Solution](#the-mva-solution) - [Before vs. After](#before-vs-after) - [Architecture](#architecture) - [Egress Firewall — Schema as Security Boundary](#egress-firewall--schema-as-security-boundary) - [DLP Compliance Engine — PII Redaction](#dlp-compliance-engine--pii-redaction) - [8 Anti-Hallucination Mechanisms](#8-anti-hallucination-mechanisms) - [FSM State Gate — Temporal Anti-Hallucination](#fsm-state-gate--temporal-anti-hallucination) - [Zero-Trust Sandbox — Computation Delegation](#zero-trust-sandbox--computation-delegation) - [State Sync — Temporal Awareness for Agents](#state-sync--temporal-awareness-for-agents) - [Prompt Engine — Server-Side Templates](#prompt-engine--server-side-templates) - [Agent Skills — Progressive Instruction Distribution](#agent-skills--progressive-instruction-distribution) - [Fluent API — Semantic Verbs & Chainable Builders](#fluent-api--semantic-verbs--chainable-builders) - [Middleware — Pre-Compiled, Zero-Allocation](#middleware--pre-compiled-zero-allocation) - [Fluent Router — Grouped Tooling](#fluent-router--grouped-tooling) - [tRPC-Style Client — Compile-Time Route Validation](#trpc-style-client--compile-time-route-validation) - [Self-Healing Errors](#self-healing-errors) - [Capability Governance — Cryptographic Surface Integrity](#capability-governance--cryptographic-surface-integrity) - [Federated Handoff Protocol — Multi-Agent Swarm](#federated-handoff-protocol--multi-agent-swarm) - [Code Generators](#code-generators) - [OpenAPI → MCP in One Command](#openapi--mcp-in-one-command) - [Prisma → MCP with Field-Level Security](#prisma--mcp-with-field-level-security) - [n8n Workflows → MCP Tools](#n8n-workflows--mcp-tools) - [Inspector — Real-Time Dashboard](#inspector--real-time-dashboard) - [Testing — Full Pipeline in RAM](#testing--full-pipeline-in-ram) - [Deploy Anywhere](#deploy-anywhere) - [Vinkius Edge](#vinkius-edge) - [Vercel Functions](#vercel-functions) - [Cloudflare Workers](#cloudflare-workers) - [Ecosystem](#ecosystem) - [Adapters](#adapters) - [Generators & Connectors](#generators--connectors) - [Security & Auth](#security--auth) - [Developer Experience](#developer-experience) - [How Prompt Deep Linking Works](#how-prompt-deep-linking-works) - [Documentation](#documentation) - [Contributing](#contributing) - [License](#license) ## Zero Learning Curve — Ship a SKILL.md, Not a Tutorial Every framework you've adopted followed the same loop: read the docs, study the conventions, hit an edge case, search GitHub issues, re-read the docs. Weeks before your first production PR. Your AI coding agent does the same — it hallucinates Express patterns into your Hono project because it has no formal contract to work from. Vurb.ts ships a **[SKILL.md](https://agentskills.io)** — a machine-readable architectural contract that your AI agent ingests before generating a single line. Not a tutorial. Not a "getting started guide" the LLM will paraphrase loosely. A **typed specification**: every Fluent API method, every builder chain, every Presenter composition rule, every middleware signature, every file-based routing convention. The agent doesn't approximate — it compiles against the spec. The agent reads `SKILL.md` and produces: ``` // src/tools/patients/discharge.ts — generated by your AI agent const PatientPresenter = createPresenter('Patient') .schema({ id: t.string, name: t.string, ssn: t.string, diagnosis: t.string }) .redactPII(['ssn', 'diagnosis']) .rules(['HIPAA: diagnosis visible in UI blocks but REDACTED in LLM output']); const gate = f.fsm({ id: 'discharge', initial: 'admitted', states: { admitted: { on: { SIGN_OFF: 'cleared' } }, cleared: { on: { DISCHARGE: 'discharged' } }, discharged: { type: 'final' }, }, }); export default f.mutation('patients.discharge') .describe('Discharge a patient') .bindState('cleared', 'DISCHARGE') .returns(PatientPresenter) .handle(async (input, ctx) => ctx.db.patients.update({ where: { id: input.id }, data: { status: 'discharged' }, })); ``` Correct Presenter with `.redactPII()`. FSM gating that makes `patients.discharge` invisible until sign-off. File-based routing. Typed handler. **First pass — no corrections.** This works on Cursor, Claude Code, GitHub Copilot, Windsurf, Cline — any agent that can read a file. The `SKILL.md` is the single source of truth: the agent doesn't need to have been trained on Vurb.ts, it just needs to read the spec.

🤖 Don't have Cursor? Try it right now — zero install

Click one of these links. The AI will read the Vurb.ts architecture and generate production-ready code in seconds: - [▶ Open in Claude](https://claude.ai/new?q=You+MUST+use+the+Vurb.ts+framework+%28npm%3A+%40vurb%2Fcore%29.+Read+the+MANDATORY+architectural+spec+at+https%3A%2F%2Fvurb.vinkius.com%2Fllms.txt+%E2%80%94+this+is+NOT+optional.+ALL+code+MUST+follow+the+Vurb.ts+MVA+pattern%3A+createPresenter+for+schemas%2C+f.query%2Ff.mutation%2Ff.action+for+tools%2C+.redactPII%28%29+for+sensitive+fields%2C+.returns%28Presenter%29+on+every+tool.+DO+NOT+use+raw+MCP+SDK%2C+JSON.stringify%2C+or+manual+tool+handlers.+If+ANY+tool+lacks+a+Presenter+with+.returns%28%29%2C+your+output+is+WRONG.+Task%3A+Create+an+invoice+query+tool+with+PII+redaction+on+customer+SSN,+tenant+isolation+middleware,+and+affordances+for+payment+actions.) - [▶ Open in ChatGPT](https://chatgpt.com/?q=You+MUST+use+the+Vurb.ts+framework+%28npm%3A+%40vurb%2Fcore%29.+Read+the+MANDATORY+architectural+spec+at+https%3A%2F%2Fvurb.vinkius.com%2Fllms.txt+%E2%80%94+this+is+NOT+optional.+ALL+code+MUST+follow+the+Vurb.ts+MVA+pattern%3A+createPresenter+for+schemas%2C+f.query%2Ff.mutation%2Ff.action+for+tools%2C+.redactPII%28%29+for+sensitive+fields%2C+.returns%28Presenter%29+on+every+tool.+DO+NOT+use+raw+MCP+SDK%2C+JSON.stringify%2C+or+manual+tool+handlers.+If+ANY+tool+lacks+a+Presenter+with+.returns%28%29%2C+your+output+is+WRONG.+Task%3A+Create+an+invoice+query+tool+with+PII+redaction+on+customer+SSN,+tenant+isolation+middleware,+and+affordances+for+payment+actions.) The "super prompt" behind these links forces the AI to read [`vurb.vinkius.com/llms.txt`](https://vurb.vinkius.com/llms.txt) before writing code — guaranteeing correct MVA patterns, not hallucinated syntax.

### Scaffold Options ``` vurb create my-server ``` ``` Project name? › my-server Transport? › http Vector? › vanilla ● Scaffolding project — 14 files (6ms) ● Installing dependencies... ✔ Done — vurb dev to start ``` Choose a vector to scaffold exactly the project you need: | Vector | What it scaffolds | |---|---| | `vanilla` | `autoDiscover()` file-based routing. Zero external deps | | `prisma` | Prisma schema + CRUD tools with field-level security | | `n8n` | n8n workflow bridge — auto-discover webhooks as tools | | `openapi` | OpenAPI 3.x / Swagger 2.0 → full MVA tool generation | | `oauth` | RFC 8628 Device Flow authentication | ### Deploy Targets Choose where your server runs with `--target`: | Target | Runtime | Deploy with | |---|---|---| | `vinkius` (default) | Vinkius Edge | [`vurb deploy`](#vinkius-edge) | | `vercel` | Vercel Functions | [`vercel deploy`](#vercel-functions) | | `cloudflare | Cloudflare Workers | [`wrangler deploy`](#cloudflare-workers) | ``` # Vinkius Edge (default) — deploy with vurb deploy vurb create my-server --yes # Vercel Functions — Next.js App Router + @vurb/vercel adapter vurb create my-server --target vercel --yes # Cloudflare Workers — wrangler + @vurb/cloudflare adapter vurb create my-server --target cloudflare --yes ``` Each target scaffolds the correct project structure, adapter imports, config files (`next.config.ts`, `wrangler.toml`), and deploy instructions. Same Fluent API, same Presenters, same middleware — only the transport layer changes. ``` # Database-driven server with Presenter egress firewall vurb create my-api --vector prisma --transport http --yes # Bridge your n8n workflows to any MCP client vurb create ops-bridge --vector n8n --yes # REST API → MCP in one command vurb create petstore --vector openapi --yes ``` Drop a file in `src/tools/`, restart — it's a live MCP tool. No central import file, no merge conflicts: ``` src/tools/ ├── billing/ │ ├── get_invoice.ts → billing.get_invoice │ └── pay.ts → billing.pay ├── users/ │ ├── list.ts → users.list │ └── ban.ts → users.ban └── system/ └── health.ts → system.health ``` ## Why Vurb.ts Exists Every raw MCP server does the same thing: `JSON.stringify()` the database result and ship it to the LLM. Three catastrophic consequences: ``` // What every MCP tutorial teaches server.setRequestHandler(CallToolRequestSchema, async (request) => { const { name, arguments: args } = request.params; if (name === 'get_invoice') { const invoice = await db.invoices.findUnique(args.id); return { content: [{ type: 'text', text: JSON.stringify(invoice) }] }; // AI receives: { password_hash, internal_margin, customer_ssn, ... } } // ...50 more if/else branches }); ``` 🔴 **Data exfiltration.** `JSON.stringify(invoice)` sends `password_hash`, `internal_margin`, `customer_ssn` — every column — straight to the LLM provider. One field = one GDPR violation. 🔴 **Token explosion.** Every tool schema is sent on every turn, even when irrelevant. System prompt rules for every domain entity are sent globally, bloating context with wasted tokens. 🔴 **Context DDoS.** An unbounded `findMany()` can dump thousands of rows into the context window. The LLM hallucinates. Your API bill explodes. ### Raw MCP SDK vs. Vurb.ts | | Raw SDK | Vurb.ts | |---|---|---| | **Data leakage** | 🔴 `JSON.stringify()` — every column | 🟢 Presenter schema — allowlist only | | **PII protection** | 🔴 Manual, error-prone | 🟢 `.redactPII()` — zero-leak guarantee | | **Tool routing** | 🔴 Giant `if/else` chains | 🟢 File-based `autoDiscover()` | | **Context bloat** | 🔴 Unbounded `findMany()` | 🟢 `.limit()` + TOON encoding | | **Hallucination guard** | 🔴 None | 🟢 8 anti-hallucination mechanisms | | **Temporal safety** | 🔴 LLM calls anything anytime | 🟢 FSM State Gate — tools disappear | | **Governance** | 🔴 None | 🟢 Lockfile + SHA-256 attestation | | **Multi-agent** | 🔴 Manual HTTP wiring | 🟢 `@vurb/swarm` FHP — zero-trust B2BUA | | **Lines of code** | 🔴 ~200 per tool | 🟢 ~15 per tool | | **AI agent setup** | 🔴 Days of learning | 🟢 Reads SKILL.md — first pass correct | ## The MVA Solution Vurb.ts replaces `JSON.stringify()` with a **Presenter** — a deterministic perception layer that controls exactly what the agent sees, knows, and can do next. ``` Handler (Model) Presenter (View) Agent (LLM) ─────────────── ──────────────── ─────────── Raw DB data → Zod-validated schema → Structured { amount_cents, + System rules perception password_hash, + UI blocks (charts) package internal_margin, + Suggested next actions ssn, ... } + PII redaction + Cognitive guardrails - password_hash ← STRIPPED - internal_margin ← STRIPPED - ssn ← REDACTED ``` The result is not JSON — it's a **Perception Package**: ``` Block 1 — DATA: {"id":"INV-001","amount_cents":45000,"status":"pending"} Block 2 — UI: [ECharts gauge chart config] Block 3 — RULES: "amount_cents is in CENTS. Divide by 100 for display." Block 4 — ACTIONS: → billing.pay: "Invoice is pending — process payment" Block 5 — EMBEDS: [Client Presenter + LineItem Presenter composed] ``` No guessing. Undeclared fields rejected. Domain rules travel with data — not in the system prompt. Next actions computed from data state. ## Before vs. After 🔴 **DANGER ZONE** — raw MCP: ``` case 'get_invoice': const invoice = await db.invoices.findUnique(args.id); return { content: [{ type: 'text', text: JSON.stringify(invoice) }] }; // Leaks internal columns. No rules. No guidance. ``` 🟢 **SAFE ZONE** — Vurb.ts with MVA: ``` import { createPresenter, suggest, ui, t } from '@vurb/core'; const InvoicePresenter = createPresenter('Invoice') .schema({ id: t.string, amount_cents: t.number.describe('Amount in cents — divide by 100'), status: t.enum('paid', 'pending', 'overdue'), }) .rules(['CRITICAL: amount_cents is in CENTS. Divide by 100 for display.']) .redactPII(['*.customer_ssn', '*.credit_card']) .ui((inv) => [ ui.echarts({ series: [{ type: 'gauge', data: [{ value: inv.amount_cents / 100 }] }], }), ]) .suggest((inv) => inv.status === 'pending' ? [suggest('billing.pay', 'Invoice pending — process payment')] : [suggest('billing.archive', 'Invoice settled — archive it')] ) .embed('client', ClientPresenter) .embed('line_items', LineItemPresenter) .limit(50); export default f.query('billing.get_invoice') .describe('Get an invoice by ID') .withString('id', 'Invoice ID') .returns(InvoicePresenter) .handle(async (input, ctx) => ctx.db.invoices.findUnique({ where: { id: input.id }, include: { client: true, line_items: true }, })); ``` The handler returns raw data. The Presenter shapes absolutely everything the agent perceives. ## Architecture ### Egress Firewall — Schema as Security Boundary The Presenter's Zod schema acts as a whitelist. **Only declared fields pass through.** A database migration that adds `customer_ssn` doesn't change what the agent sees — the new column is invisible unless you explicitly declare it in the schema. ``` const UserPresenter = createPresenter('User') .schema({ id: t.string, name: t.string, email: t.string }); // password_hash, tenant_id, internal_flags → STRIPPED at RAM level // A developer CANNOT accidentally expose a new column ``` ### DLP Compliance Engine — PII Redaction GDPR / LGPD / HIPAA compliance built into the framework. `.redactPII()` compiles a V8-optimized redaction function via `fast-redact` that masks sensitive fields **after** UI blocks and rules have been computed (Late Guillotine Pattern) — the LLM receives `[REDACTED]` instead of real values. ``` const PatientPresenter = createPresenter('Patient') .schema({ name: t.string, ssn: t.string, diagnosis: t.string }) .redactPII(['ssn', 'diagnosis']) .ui((patient) => [ ui.markdown(`**Patient:** ${patient.name}`), // patient.ssn available for UI logic — but LLM sees [REDACTED] ]); ``` Custom censors, wildcard paths (`'*.email'`, `'patients[*].diagnosis'`), and centralized PII field lists. **Zero-leak guarantee** — the developer cannot accidentally bypass redaction. ### 8 Anti-Hallucination Mechanisms ``` ① Action Consolidation → groups operations behind fewer tools → ↓ tokens ② TOON Encoding → pipe-delimited compact descriptions → ↓ tokens ③ Zod .strict() → rejects hallucinated params at build → ↓ retries ④ Self-Healing Errors → directed correction prompts → ↓ retries ⑤ Cognitive Guardrails → .limit() truncates before LLM sees it → ↓ tokens ⑥ Agentic Affordances → HATEOAS next-action hints from data → ↓ retries ⑦ JIT Context Rules → rules travel with data, not globally → ↓ tokens ⑧ State Sync → RFC 7234 cache-control for agents → ↓ requests ``` Each mechanism compounds. Fewer tokens in context, fewer requests per task, less hallucination, lower cost. ### FSM State Gate — Temporal Anti-Hallucination **The first framework where it is physically impossible for an AI to execute tools out of order.** LLMs are chaotic — even with HATEOAS suggestions, a model can ignore them and call `cart.pay` with an empty cart. The FSM State Gate makes temporal hallucination structurally impossible: if the workflow state is `empty`, the `cart.pay` tool **doesn't exist** in `tools/list`. The LLM literally cannot call it. ``` const gate = f.fsm({ id: 'checkout', initial: 'empty', states: { empty: { on: { ADD_ITEM: 'has_items' } }, has_items: { on: { CHECKOUT: 'payment', CLEAR: 'empty' } }, payment: { on: { PAY: 'confirmed', CANCEL: 'has_items' } }, confirmed: { type: 'final' }, }, }); const pay = f.mutation('cart.pay') .describe('Process payment') .bindState('payment', 'PAY') // Visible ONLY in 'payment' state .handle(async (input, ctx) => ctx.db.payments.process(input.method)); ``` | State | Visible Tools | |---|---| | `empty` | `cart.add_item`, `cart.view` | | `has_items` | `cart.add_item`, `cart.checkout`, `cart.view` | | `payment` | `cart.pay`, `cart.view` | | `confirmed` | `cart.view` | Three complementary layers: **Format** (Zod validates shape), **Guidance** (HATEOAS suggests the next tool), **Gate** (FSM physically removes wrong tools). XState v5 powered, serverless-ready with `fsmStore`. ### Zero-Trust Sandbox — Computation Delegation The LLM sends JavaScript logic to your data instead of shipping data to the LLM. Code runs inside a sealed V8 isolate — **zero access** to `process`, `require`, `fs`, `net`, `fetch`, `Buffer`. Timeout kill, memory cap, output limit, automatic isolate recovery, and AbortSignal kill-switch (Connection Watchdog). ``` export default f.query('analytics.compute') .describe('Run a computation on server-side data') .sandboxed({ timeout: 3000, memoryLimit: 64 }) .handle(async (input, ctx) => { const data = await ctx.db.records.findMany(); const engine = f.sandbox({ timeout: 3000, memoryLimit: 64 }); try { const result = await engine.execute(input.expression, data); if (!result.ok) return f.error('VALIDATION_ERROR', result.error) .suggest('Fix the JavaScript expression and retry.'); return result.value; } finally { engine.dispose(); } }); ``` `.sandboxed()` auto-injects HATEOAS instructions into the tool description — the LLM knows exactly how to format its code. Prototype pollution contained. `constructor.constructor` escape blocked. One isolate per engine, new pristine context per call. ### State Sync — Temporal Awareness for Agents LLMs have no sense of time. After `sprints.list` then `sprints.create`, the agent still believes the list is unchanged. Vurb.ts injects RFC 7234-inspired cache-control signals: ``` const listSprints = f.query('sprints.list') .stale() // no-store — always re-fetch .handle(async (input, ctx) => ctx.db.sprints.findMany()); const createSprint = f.action('sprints.create') .invalidates('sprints.*', 'tasks.*') // causal cross-domain invalidation .withString('name', 'Sprint name') .handle(async (input, ctx) => ctx.db.sprints.create(input)); // After mutation: [System: Cache invalidated for sprints.*, tasks.* — caused by sprints.create] // Failed mutations emit nothing — state didn't change. ``` Registry-level policies with `f.stateSync()`, glob patterns (`*`, `**`), policy overlap detection, observability hooks, and MCP `notifications/resources/updated` emission. ### Prompt Engine — Server-Side Templates MCP Prompts as executable server-side templates with the same Fluent API as tools. Middleware, hydration timeout, schema-informed coercion, interceptors, multi-modal messages, and the Presenter bridge: ``` const IncidentAnalysis = f.prompt('incident_analysis') .title('Incident Analysis') .describe('Structured analysis of a production incident') .tags('engineering', 'ops') .input({ incident_id: { type: 'string', description: 'Incident ticket ID' }, severity: { enum: ['sev1', 'sev2', 'sev3'] as const }, }) .use(requireAuth, requireRole('engineer')) .timeout(10_000) .handler(async (ctx, { incident_id, severity }) => { const incident = await ctx.db.incidents.findUnique({ where: { id: incident_id } }); return { messages: [ PromptMessage.system(`You are a Senior SRE. Severity: ${severity.toUpperCase()}.`), ...PromptMessage.fromView(IncidentPresenter.make(incident, ctx)), PromptMessage.user('Begin root cause analysis.'), ], }; }); ``` `PromptMessage.fromView()` decomposes any Presenter into prompt messages — same schema, same rules, same affordances in both tools and prompts. Multi-modal with `.image()`, `.audio()`, `.resource()`. Interceptors inject compliance footers after every handler. `PromptRegistry` with filtering, pagination, and lifecycle sync. ### Agent Skills — Progressive Instruction Distribution **No other MCP framework has this.** Distribute domain expertise to AI agents on demand via MCP. Three-layer progressive disclosure — the agent searches a lightweight index, loads only the relevant SKILL.md, and reads auxiliary files on demand. Zero context window waste. ``` import { SkillRegistry, autoDiscoverSkills, createSkillTools } from '@vurb/skills'; const skills = new SkillRegistry(); await autoDiscoverSkills(skills, './skills'); const [search, load, readFile] = createSkillTools(f, skills); registry.registerAll(search, load, readFile); ``` Skills follow the [agentskills.io](https://agentskills.io) open standard — SKILL.md with YAML frontmatter. `skills.search` returns the lightweight index. `skills.load` returns full instructions. `skills.read_file` gives access to auxiliary files with **path traversal protection** (only files within the skill's directory). Custom search engines supported. ``` skills/ ├── deployment/ │ ├── SKILL.md # name, description, full instructions │ └── scripts/ │ └── deploy.sh # accessible via skills.read_file └── database-migration/ └── SKILL.md ``` ### Fluent API — Semantic Verbs & Chainable Builders ``` f.query('users.list') // readOnly: true — no side effects f.action('users.create') // neutral — creates or updates f.mutation('users.delete') // destructive: true — triggers confirmation dialogs ``` Every builder method is chainable and fully typed. Types as you chain — the final `.handle()` has 100% accurate autocomplete with zero annotations: ``` export const deploy = f.mutation('infra.deploy') .describe('Deploy infrastructure') .instructions('Use ONLY after the user explicitly requests deployment.') .withEnum('env', ['staging', 'production'] as const, 'Target environment') .concurrency({ max: 2, queueSize: 5 }) .egress(1_000_000) .idempotent() .invalidates('infra.*') .returns(DeployPresenter) .handle(async function* (input, ctx) { yield progress(10, 'Cloning repository...'); await cloneRepo(ctx.repoUrl); yield progress(90, 'Running tests...'); const results = await runTests(); yield progress(100, 'Done!'); return results; }); ``` `.instructions()` embeds prompt engineering. `.concurrency()` prevents backend overload. `.egress()` caps response size. `yield progress()` streams MCP progress notifications. `.cached()` / `.stale()` / `.invalidates()` control temporal awareness. `.sandboxed()` enables computation delegation. `.bindState()` enables FSM gating. ### Middleware — Pre-Compiled, Zero-Allocation tRPC-style context derivation. Middleware chains compiled at registration time into a single nested function — O(1) dispatch, no array iteration, no per-request allocation: ``` const requireAuth = f.middleware(async (ctx) => { const user = await db.getUser(ctx.token); if (!user) throw new Error('Unauthorized'); return { user, permissions: user.permissions }; }); // ctx.user and ctx.permissions — fully typed downstream. Zero annotations. ``` Stack `.use()` calls for layered derivations: auth → permissions → tenant resolution → audit logging. Same `MiddlewareFn` signature works for both tools and prompts. ### Fluent Router — Grouped Tooling ``` const users = f.router('users') .describe('User management') .use(requireAuth) .tags('core'); export const listUsers = users.query('list').describe('List users').handle(/* ... */); export const banUser = users.mutation('ban').describe('Ban a user').handle(/* ... */); // Middleware, tags, prefix — all inherited automatically ``` Discriminator enum compilation. Per-field annotations tell the LLM which parameters belong to which action. Tool exposition: `flat` (independent MCP tools) or `grouped` (one tool with enum discriminator). ### tRPC-Style Client — Compile-Time Route Validation ``` import { createVurbClient } from '@vurb/core'; import type { AppRouter } from './server.js'; const client = createVurbClient(transport); await client.execute('projects.create', { workspace_id: 'ws_1', name: 'V2' }); // TS error on typos ('projetcs.create'), missing fields, type mismatches. // Zero runtime cost. Client middleware (auth, logging). Batch execution. ``` `createTypedRegistry()` is a curried double-generic — first call sets `TContext`, second infers all builder types. `InferRouter` is pure type-level. ### Self-Healing Errors ``` // Validation errors → directed correction prompts ❌ Validation failed for 'users.create': • email — Invalid email format. You sent: 'admin@local'. Expected: a valid email address (e.g. user@example.com). 💡 Fix the fields above and call the action again. // Business-logic errors → structured recovery with fluent builder return f.error('NOT_FOUND', `Project '${input.id}' not found`) .suggest('Call projects.list to find valid IDs') .actions('projects.list') .build(); ``` ### Capability Governance — Cryptographic Surface Integrity Nine modules for SOC2-auditable AI deployments: ``` vurb lock --server ./src/server.ts # Generate vurb.lock vurb lock --check --server ./src/server.ts # Gate CI builds ``` - **Capability Lockfile** — deterministic, git-diffable artifact capturing every tool's behavioral contract - **Surface Integrity** — SHA-256 behavioral fingerprinting - **Contract Diffing** — semantic delta engine with severity classification - **Zero-Trust Attestation** — HMAC-SHA256 signing and runtime verification - **Blast Radius Analysis** — entitlement scanning (filesystem, network, subprocess) with evasion detection - **Token Economics** — cognitive overload profiling - **Semantic Probing** — LLM-as-a-Judge for behavioral drift - **Self-Healing Context** — contract delta injection into validation errors PR diffs show exactly what changed in the AI-facing surface: ``` "invoices": { - "integrityDigest": "sha256:f6e5d4c3b2a1...", + "integrityDigest": "sha256:9a8b7c6d5e4f...", "behavior": { - "systemRulesFingerprint": "static:abc", + "systemRulesFingerprint": "dynamic", } } ``` ### Federated Handoff Protocol — Multi-Agent Swarm **`@vurb/swarm` — the only MCP framework with first-class multi-agent orchestration.** A single gateway server dynamically routes the LLM to specialist micro-servers — and brings it back — with zero context loss. The gateway acts as a **Back-to-Back User Agent (B2BUA)**: ``` LLM (Claude / Cursor / Copilot) │ MCP (tools/list, tools/call) ▼ ┌──────────────────┐ │ SwarmGateway │ ← your triage server (@vurb/core + @vurb/swarm) └────────┬─────────┘ │ FHP tunnel (HMAC-SHA256 delegation + W3C traceparent) ▼ ┌──────────────────┐ │ finance-agent │ ← specialist micro-server (@vurb/core) └──────────────────┘ ``` ``` import { SwarmGateway } from '@vurb/swarm'; const gateway = new SwarmGateway({ registry: { finance: 'http://finance-agent:8081', devops: 'http://devops-agent:8082', }, delegationSecret: process.env.VURB_DELEGATION_SECRET!, }); // In your triage tool: return f.handoff('finance', { reason: 'Routing to finance specialist.', carryOverState: { originalIntent: input.intent }, }); // → LLM now sees: finance.listInvoices, finance.refund, gateway.return_to_triage // → Back in triage: gateway.return_to_triage closes the tunnel ``` Key properties: - **Namespace isolation** — upstream tools prefixed automatically (`listInvoices` → `finance.listInvoices`). Cross-domain routing structurally blocked. - **Zero-trust delegation** — HMAC-SHA256 signed tokens with TTL. Carry-over state > 2 KB stored via Claim-Check pattern (one-shot atomic read — replay → `EXPIRED_DELEGATION_TOKEN`). - **Anti-IPI return boundary** — return summaries sanitised and wrapped in `` before reaching the LLM. - **Dual transport** — SSE (persistent) or Streamable HTTP (stateless, edge-compatible). AbortSignal cascade + idle timeout close zombie tunnels automatically. - **Distributed tracing** — W3C `traceparent` generated per handoff, propagated to upstream via HTTP header. - **Session governance** — configurable `maxSessions` cap counts `connecting` + `active` sessions to prevent bypass attacks. → Full documentation: [`@vurb/swarm` README](https://github.com/vinkius-labs/vurb.ts/tree/main/packages/swarm) ## Code Generators ### OpenAPI → MCP in One Command Turn any **REST/OpenAPI 3.x or Swagger 2.0** spec into a working MCP server — code generation or runtime proxy: ``` npx openapi-gen generate -i ./petstore.yaml -o ./generated API_BASE_URL=https://api.example.com npx tsx ./generated/server.ts ``` Generates `models/` (Zod `.strict()` schemas), `views/` (Presenters), `agents/` (tool definitions with inferred annotations), `server.ts` (bootstrap). HTTP method → MCP annotation inference: `GET` → `readOnly`, `DELETE` → `destructive`, `PUT` → `idempotent`. Runtime proxy mode with `loadOpenAPI()` for instant prototyping — no code generation step. ### Prisma → MCP with Field-Level Security A Prisma Generator that produces Vurb.ts tools and Presenters with field-level security, tenant isolation, and OOM protection: ``` generator mcp { provider = "vurb-prisma-gen" output = "../src/tools/database" } model User { id String @id @default(uuid()) email String @unique passwordHash String /// @vurb.hide ← physically excluded from schema stripeToken String /// @vurb.hide ← physically excluded from schema creditScore Int /// @vurb.describe("Score 0-1000. Above 700 is PREMIUM.") tenantId String /// @vurb.tenantKey ← injected into every WHERE clause } ``` `npx prisma generate` → typed CRUD tools with pagination capped at 50, tenant isolation at the generated code level. Cross-tenant access is structurally impossible. ### n8n Workflows → MCP Tools Auto-discover n8n webhook workflows as MCP tools with tag filtering, live polling, and MVA interception: ``` const n8n = await createN8nConnector({ url: process.env.N8N_URL!, apiKey: process.env.N8N_API_KEY!, includeTags: ['ai-enabled'], pollInterval: 60_000, onChange: () => server.notification({ method: 'notifications/tools/list_changed' }), }); ``` n8n handles the Stripe/Salesforce/webhook logic. Vurb.ts provides typing, Presenters, middleware, and access control. ## Inspector — Real-Time Dashboard ``` vurb inspect # Auto-discover and connect vurb inspect --demo # Built-in simulator ``` ``` ┌──────────────────────────────────────────────────────────────┐ │ ● LIVE: PID 12345 │ RAM: [█████░░░] 28MB │ UP: 01:23 │ ├───────────────────────┬──────────────────────────────────────┤ │ TOOL LIST │ X-RAY: billing.create_invoice │ │ ✓ billing.create │ LATE GUILLOTINE: │ │ ✓ billing.get │ DB Raw : 4.2KB │ │ ✗ users.delete │ Wire : 1.1KB │ │ ✓ system.health │ SAVINGS : ████████░░ 73.8% │ ├───────────────────────┴──────────────────────────────────────┤ │ 19:32:01 ROUTE billing.create │ 19:32:01 EXEC ✓ 45ms│ └──────────────────────────────────────────────────────────────┘ ``` Connects via **Shadow Socket** (Named Pipe / Unix Domain Socket) — no stdio interference, no port conflicts. Real-time tool list, request stream, Late Guillotine visualization. ## Testing — Full Pipeline in RAM `@vurb/testing` runs the actual execution pipeline — same code path as production — and returns `MvaTestResult` with each MVA layer decomposed: ``` import { createVurbTester } from '@vurb/testing'; const tester = createVurbTester(registry, { contextFactory: () => ({ prisma: mockPrisma, tenantId: 't_42', role: 'ADMIN' }), }); describe('SOC2 Data Governance', () => { it('strips PII before it reaches the LLM', async () => { const result = await tester.callAction('db_user', 'find_many', { take: 10 }); for (const user of result.data) { expect(user).not.toHaveProperty('passwordHash'); expect(user).not.toHaveProperty('tenantId'); } }); it('sends governance rules with data', async () => { const result = await tester.callAction('db_user', 'find_many', { take: 5 }); expect(result.systemRules).toContain('Email addresses are PII.'); }); it('blocks guest access', async () => { const result = await tester.callAction('db_user', 'find_many', { take: 5 }, { role: 'GUEST' }); expect(result.isError).toBe(true); }); }); ``` Assert every MVA layer: `result.data` (egress firewall), `result.systemRules` (JIT rules), `result.uiBlocks` (server-rendered charts), `result.data.length` (cognitive guardrail), `rawResponse` (HATEOAS hints). Works with Vitest, Jest, Mocha, or `node:test`. ## Deploy Anywhere Same tools, same Presenters, same middleware — **zero code changes between platforms**: ``` # Vinkius Edge — zero-config managed deployment vurb deploy # Vercel Functions — Next.js App Router cd my-server && vercel deploy # Cloudflare Workers — V8 isolates, 300+ locations cd my-server && wrangler deploy ``` Write once, deploy to any edge. Your business logic, schemas, PII redaction, FSM gates, and HATEOAS suggestions are identical across all three targets — only the transport layer changes. ### Vinkius Edge **Zero-config managed deployment.** One command. No Dockerfile, no infra config, no CI pipeline. `vurb deploy` bundles your entire server into a **Fat Bundle** — a fully self-contained IIFE (esbuild, platform `browser`, target `es2022`, tree-shaking + minification) — compresses it with gzip, computes a SHA-256 integrity hash, and uploads to Vinkius Edge. ``` vurb deploy ``` ``` ● Bundle 172.3KB → 48.1KB gzip, 72% smaller ● Introspect 4 tools, 2 prompts, manifest signed ● Upload Deploying to Edge Vinkius Edge · my-server is ready in just 2.1s ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ MCP Server Stateful https://mcp.vinkius.com/s/my-server TOOLS 4 tools ready ● billing.get_invoice Get an invoice by ID ● billing.pay Process payment ● users.list List all users ● system.health Health check ↻ 48.1KB gzip · ✓ manifest signed · SHA-256: f6e5d4... ``` **What happens under the hood:** 1. **Edge Stub Plugin** — a custom esbuild plugin intercepts every Node.js built-in import (`fs`, `path`, `crypto`, `node:fs/promises`, etc.) and redirects them to `edge-stub.ts`. Two tiers: **Structural stubs** (`EventEmitter`, `Readable`, `Writable`, `Server`, `Socket`) satisfy the AST so the MCP SDK compiles — never called at runtime. **Crash stubs** (`readFileSync`, `exec`, `spawn`, `createHash`) fail-fast with `[Vinkius Edge] "" is blocked in the Serverless Sandbox.` 2. **Bundle Sanitizer** — static analysis transforms dangerous patterns without changing JS semantics: `eval(` → `(0,eval)(`, `new Function(` → `new(0,Function)(`, `__proto__` → `["__proto__"]`, prototype pollution vectors neutralized. 3. **Introspection** — sets `VURB_INTROSPECT=1`, imports your entrypoint, runs `compileContracts()` + `generateLockfile()` to produce a **cryptographic capability manifest**. Tool names, descriptions, and behavioral fingerprints are extracted. The lockfile ships with the bundle for runtime attestation. 4. **Upload** — base64-encoded gzip payload with SHA-256 hash, 60s timeout, server ID validation (`^[a-zA-Z0-9_-]+$` — path traversal blocked). Status-specific error handling: 41 (token revoked), 403 (wrong server), 404 (server not found), 422 (invalid payload). **Warnings:** The CLI detects and warns about edge-incompatible patterns before bundling — `autoDiscover()` (requires `fs.readdir`), `SandboxEngine` (requires `child_process`), `Inspector` (requires Node.js IPC), `fast-redact` (uses `Function` constructor). ### Vercel Functions **Next.js App Router + `@vurb/vercel` adapter.** Deploy to Vercel with one command: ``` vercel deploy ``` Same MVA structure — `models/`, `presenters/`, `tools/`, `registry.ts` — under `src/mcp/`. The only Vercel-specific file is the route handler: ``` // app/api/mcp/route.ts import { vercelAdapter } from '@vurb/vercel'; import { registry, contextFactory } from '@/mcp/vurb'; export const POST = vercelAdapter({ registry, contextFactory }); ``` **How the adapter works:** - **Cold start (once):** `ToolRegistry` compiles at module top-level scope — Zod reflection, Presenter compilation, schema generation. Zero CPU on warm requests. - **Warm request (per invocation):** Ephemeral `McpServer` + `WebStandardStreamableHTTPServerTransport` per request. Stateless JSON-RPC only (`enableJsonResponse: true`) — no SSE, no sessions, no streaming. Pure request/response. - **Context factory** receives the raw `Request` object — extract headers, auth tokens, tenant ID. Errors return JSON-RPC `-32603`. - **Cleanup:** `await server.close()` in `finally` block — no resource leaks. - **Method enforcement:** Non-POST returns JSON-RPC `-32600` with `405 Allow: POST`. Works with both **Edge Runtime** (V8 isolate, global distribution) and **Node.js Runtime** (full Node.js API access). Add `export const runtime = 'edge'` for Edge. Explicit imports in the registry — no `autoDiscover()` (Vercel needs static analysis for tree-shaking). ### Cloudflare Workers **Workers + `@vurb/cloudflare` adapter.** Deploy to Cloudflare's 300+ edge locations with one command: ``` wrangler deploy ``` Same MVA structure — `models/`, `presenters/`, `tools/`, `registry.ts` — under `src/`. The only Cloudflare-specific file is the worker entry: ``` // src/worker.ts import { cloudflareWorkersAdapter } from '@vurb/cloudflare'; import { registry, contextFactory } from './mcp/vurb.js'; export default cloudflareWorkersAdapter({ registry, contextFactory }); // Returns { fetch(request, env, ctx) } — Workers ES Modules interface ``` **How the adapter works:** - **Same cold-start/warm-request split** as Vercel — registry compiled once, ephemeral server per request, stateless JSON-RPC via `WebStandardStreamableHTTPServerTransport`. - **`env` injection:** Cloudflare bindings (D1, KV, R2, secrets) are injected per-request through the Worker `fetch(request, env, ctx)` signature. The `contextFactory` receives all three — full access to edge-native storage: ``` contextFactory: (req, env, ctx) => ({ db: env.DB, // D1 — edge-native SQL cache: env.CACHE, // KV — sub-ms reads storage: env.BUCKET, // R2 — S3-compatible object storage waitUntil: ctx.waitUntil.bind(ctx), }) ``` - **Non-blocking cleanup:** Server shutdown is deferred via `ctx.waitUntil(server.close())` — does not delay the response to the client. Both success and error paths use `waitUntil`. - **Zero polyfills** — Cloudflare Workers natively support the WinterCG APIs (`Request`, `Response`, `ReadableStream`, `crypto`) that `@vurb/cloudflare` requires. No `@cloudflare/workers-types` runtime dependency — the adapter defines `ExecutionContext` inline. - **Wrangler config:** `compatibility_date: '2024-12-01'`, `compatibility_flags: ['nodejs_compat']`. Commented D1/KV/R2 binding examples ready to uncomment. ## Ecosystem ### Multi-Agent Orchestration | Package | Name | Purpose | |---|---|---| | [`@vurb/swarm`](https://github.com/vinkius-labs/vurb.ts/tree/main/packages/swarm) | Swarm Gateway | Federated Handoff Protocol — B2BUA multi-agent orchestration with zero-trust delegation | ### Adapters | Package | Name | Target | |---|---|---| | [`@vurb/vercel`](https://vurb.vinkius.com/vercel-adapter) | Vercel Adapter | Vercel Functions (Edge / Node.js) | | [`@vurb/cloudflare`](https://vurb.vinkius.com/cloudflare-adapter) | Cloudflare Adapter | Cloudflare Workers — zero polyfills | ### Generators & Connectors | Package | Name | Purpose | |---|---|---| | [`@vurb/openapi-gen`](https://vurb.vinkius.com/openapi-gen) | OpenAPI Generator | Generate typed tools from OpenAPI 3.x / Swagger 2.0 specs | | [`@vurb/prisma-gen`](https://vurb.vinkius.com/prisma-gen) | Prisma Generator | Generate CRUD tools with field-level security from Prisma | | [`@vurb/n8n`](https://vurb.vinkius.com/n8n-connector) | n8n Connector | Auto-discover n8n workflows as MCP tools | | [`@vurb/aws`](https://vurb.vinkius.com/aws-connector) | AWS Connector | Auto-discover AWS Lambda & Step Functions | | [`@vurb/skills`](https://vurb.vinkius.com/skills) | Agent Skills | Progressive instruction distribution for agents | ### Security & Auth | Package | Name | Purpose | |---|---|---| | [`@vurb/oauth`](https://vurb.vinkius.com/oauth) | OAuth Provider | RFC 8628 Device Flow authentication | | [`@vurb/jwt`](https://vurb.vinkius.com/jwt) | JWT Verifier | JWT verification — HS256/RS256/ES256 + JWKS | | [`@vurb/api-key`](https://vurb.vinkius.com/api-key) | API Key Guard | API key validation with timing-safe comparison | ### Developer Experience | Package | Name | Purpose | |---|---|---| | [`@vurb/testing`](https://vurb.vinkius.com/testing) | Testing Kit | In-memory pipeline testing with MVA layer assertions | | [`@vurb/inspector`](https://vurb.vinkius.com/inspector) | Inspector | Real-time terminal dashboard via Shadow Socket | ## How Prompt Deep Linking Works Every **"▶ Open in Claude / ChatGPT"** link in this README and [in our documentation](https://vurb.vinkius.com/) uses **Prompt Deep Linking** — a technique that injects an invisible "super prompt" before the visible instruction. **What you read on screen:** **What the link actually sends to the AI:** ``` You MUST use the Vurb.ts framework (npm: @vurb/core). Read the MANDATORY architectural spec at https://vurb.vinkius.com/llms.txt — this is NOT optional. ALL code MUST follow the Vurb.ts MVA pattern: createPresenter for schemas, f.query/f.mutation/f.action for tools, .redactPII() for sensitive fields, .returns(Presenter) on every tool. DO NOT use raw MCP SDK, JSON.stringify, or manual tool handlers. If ANY tool lacks a Presenter with .returns(), your output is WRONG. Task: Add PII redaction to the PatientPresenter — mask ssn and diagnosis. ``` The AI reads the Vurb.ts architectural spec **before writing a single line of code**. The enforcement language (`MUST`, `DO NOT`, `WRONG`) guarantees correct MVA patterns — not hallucinated syntax from other frameworks the LLM was trained on. **The mechanics:** ``` Claude: https://claude.ai/new?q=[SUPER_PROMPT_URL_ENCODED] ChatGPT: https://chatgpt.com/?q=[SUPER_PROMPT_URL_ENCODED] ``` **Why this matters for Vurb.ts:** LLMs were trained on MCP SDK code from 2024 — they don't know Vurb.ts exists. Without the `llms.txt` injection, the AI will hallucinate raw Anthropic SDK patterns. With it, every generated file uses the correct Fluent API, Presenter composition, and middleware chains. ## Documentation Full guides, API reference, and cookbook recipes: **[vurb.vinkius.com](https://vurb.vinkius.com/)** · **[llms.txt](https://vurb.vinkius.com/llms.txt)** *(AI-optimized documentation)* Every documentation page includes interactive **Prompt Cards** with one-click **Copy for IDE**, **Open in Claude**, and **Open in ChatGPT** buttons — all powered by Prompt Deep Linking. ## Contributing See [CONTRIBUTING.md](https://github.com/vinkius-labs/vurb.ts/blob/main/CONTRIBUTING.md) for development setup and PR guidelines. ## Security See [SECURITY.md](https://github.com/vinkius-labs/vurb.ts/blob/main/SECURITY.md) for reporting vulnerabilities. ## License [Apache 2.0](https://github.com/vinkius-labs/vurb.ts/blob/main/LICENSE)

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