Magic Cloud MCP server

Instant SECURE Full Stack Apps and AI Agents

Turn plain English into a working full-stack app — database, secure API, business logic, and frontend — running on your own hardware, with zero lock-in. An open-source alternative to Lovable, Bolt, and Replit that gives you the whole backend, plus an MCP server that turns every endpoint into a tool for Claude, Cursor, or Codex. Read more about Hyperlambda.

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Run it in 60 seconds

curl -fsSL https://hyperlambda.dev/docker-compose.yaml | docker compose -f - up

Then open localhost:5555, point it at localhost:4444, and log in with root / root.

Point the API Wizard at your database, and it generates a complete, secured REST API — then extend it in plain English, without a build or deploy step.

⭐ If this saves you time, star the repo — it's the main way other developers find it.

What you can build

• Full-stack business apps — CRM systems, admin panels, booking systems, internal tools; database, secure API and frontend generated from natural language
• Database-driven AI agents — agents that query and update your database and invoke your endpoints, behind your own role-based access control
• AI chatbots and expert systems — crawl a website, get an embeddable chatbot grounded in your own content
• Secure APIs over legacy databases — point it at an existing MySQL, PostgreSQL, SQL Server or MariaDB schema and get a CRUD API in seconds
• Wrappers around third-party APIs — paste an OpenAPI or Swagger URL and get typed, documented endpoints wrapping Stripe, GitHub, Slack or anything else publishing a spec
• MCP tool servers — expose your endpoints to Claude, Cursor, Codex, Qoder or any MCP client
• Background jobs and automation — scheduled tasks written in Hyperlambda, or generated from a plain English description
• Static sites and SPAs — your cloudlet serves files directly, next to the APIs powering them

How it compares

The LLM that cannot hallucinate functions

Magic runs Hyperlambda, which can be generated by our own proprietary LLM. Because we generate an AST rather than text, the output is analysed and rejected if it contains functions that don't exist. The Hyperlambda Generator cannot return hallucinated function invocations — like any LLM it can still write logically wrong code, but every function it invokes is guaranteed to exist.

Shortened. The full README is on GitHub.