MCPify
Get Started
v1.0.2 — Production ready

CompileSoftware
into AI-Operable Systems

MCPify automatically transforms applications, APIs, frontends, workflows, and databases into AI-native systems for autonomous agents.

>npm run mcpify -- analyze .
Get StartedView Demo
~/project — mcpify
Backend
Frontend
Database
Agent
Workflow
MCPify
✓ checkoutCart()
✓ refundOrder()
✓ sendEmail()
The Problem

Software wasn't built for agents.

Today's apps are built for humans — disconnected from AI, glued together with brittle integrations and hand-written MCP boilerplate. AI agents can read your screen, but they can't actually drive your software.

Traditional Apps

  • Built for human point-and-click
  • Disconnected from AI agents
  • Manual MCP tool authoring
  • Repetitive integration boilerplate
  • Unsafe direct API access

AI-Operable Apps

  • Native agent-callable surface
  • Continuously generated MCP
  • Type-safe, permissioned actions
  • Workflows as first-class tools
  • Audited, sandboxed, simulated
How it works

From source code to AI-operable surface.

A compiler pipeline that understands your software the way an agent needs to. Static analysis, semantic mapping, safety, and MCP generation — in one pass.

Application
Static Analysis
Semantic Understanding
Workflow Extraction
Safety Layer
MCP Generation
AI-Operable System
Stage 01 / 07

Application

Your existing app, APIs, frontends, and databases — exactly as they are today.

Features

A complete enablement toolchain.

Every layer of your stack, made addressable. Type-safe, permissioned, and continuously synced with your codebase.

01 / 11

Backend Analyzer

Deep AST analysis of routes, controllers, and services to surface every callable action.

02 / 11

Frontend Action Extraction

React, Vue, Svelte components mapped to agent-controllable actions.

03 / 11

OpenAPI → MCP

Drop in a spec, ship a typed MCP server in seconds.

10 / 11

Self-Updating Sync

MCP definitions regenerate on every commit. No drift.

11 / 11

AI Simulations

Run agents against your app in a sandbox before shipping.

Frontend → MCP

UIs become agent actions.

MCPify reads your components and produces high-fidelity action descriptors. Agents can operate your app like a human would — click, type, navigate, complete flows.

CheckoutButton.tsx
<button
  onClick={checkout}
  className="btn-primary"
>
  Complete Purchase
</button>
mcp.tool.generated.ts
mcp.action("checkoutCart", {
  surface: "frontend",
  selector: "[data-checkout]",
  preconditions: ["cart.hasItems"],
  perform: () => ui.click("checkout")
});
Architecture

Built for the way agents actually operate.

A layered system that keeps your application untouched while exposing exactly what agents need — and nothing more.

Layer 02 / 05CORE

MCP Layer

Generated tools, resources, and prompts that map 1:1 to real surface in your app. The contract agents speak.

ToolsResourcesPrompts
Use Cases

Built for builders shipping AI.

01 / 06

SaaS Platforms

Let customers automate your product with their own agents.

02 / 06

AI Agents

Give agents real surface area: real apps, real data, real actions.

03 / 06

Enterprise Tools

Make legacy internal systems addressable by modern AI.

05 / 06

Internal Dashboards

Operate ops tooling via natural language, safely.

06 / 06

AI Coding Systems

Codegen agents that understand your stack end-to-end.

Make Your Software
AI-Native.

Stop hand-writing MCP tools. Compile your stack once. Stay in sync forever.

Start BuildingView GitHub