AI Agents on Your Own Database, MCP Servers, 100% Open Source

Magic Cloud is a self-hosted, MIT-licensed Supabase alternative with execution-time RBAC: an honest comparison, plus when to stay on Supabase.

Magic cuts backend build cost by about 80 percent in agentic workflows: hosting, auth and CRUD generation collapse into one prompt. Token ledger included.

Magic Cloud is an MCP server: every module endpoint becomes an OAuth-secured MCP tool for Claude, Codex or Cursor, filtered per role, with no tool code.

How Magic compresses long AI chat sessions: older history becomes durable working memory, cutting session tokens 50 to 95 percent without losing context.

How Hyperlambda cuts AI agent costs by 75 to 90 percent: generate a tool once, let the runtime loop, and stop paying frontier output tokens per call.

Magic Cloud now supports GPT-5.5: stronger coding and tool use for AI agents inside the same runtime-enforced security model.

Claude Code ran a full security and code-quality review of Magic Cloud. Four minor issues, fixed, and an architecture that held up under scrutiny.

Turn an existing SQL database into an AI agent: generate CRUD and SQL endpoints over your schema and expose them as scoped tools, no rewrite needed.

Agentic AI without runtime permission boundaries is overprivileged automation with a friendly UI: why prompts advise and only the runtime enforces.

The Claude Code source leak analysed as a release-engineering failure, what the code says about quality, and whether AI-written code is copyrightable.

How to create a CRUD AI agent in Magic Cloud: SQLite database, generated CRUD API, a landing page and an embedded public AI agent, step by step.

Getting started with Magic Cloud: install it, add the Expert System plugin, build a small database and CRUD API, then create your first AI agent.