📋About Supabase
Updated August 26, 2026Supabase is an open-source Firebase alternative that provides a complete backend platform including PostgreSQL database, authentication, instant APIs, realtime subscriptions, edge functions, and storage. Founded in 2020 by Paul Copplestone and Ant Wilson, the company has raised over $600 million in total — reaching a $10.5 billion valuation in 2026 — and serves hundreds of thousands of developers.
Supabase has become particularly popular as backend infrastructure for AI applications thanks to its pgvector extension for vector embeddings, enabling developers to build RAG applications directly in their existing PostgreSQL database. Supabase Vector provides vector similarity search alongside traditional relational queries, storage for knowledge bases, and edge functions for AI API orchestration — all in a single platform. The company also offers AI-powered SQL generation and documentation assistants.
Supabase's open-source model and PostgreSQL foundation give developers full data ownership and the ability to self-host, differentiating from proprietary alternatives. The platform's combination of auth, database, storage, and vector search in a single service has made it the default backend choice for AI-powered web applications — particularly those built with Next.js, where Supabase's JavaScript client library and server-side rendering support provide a seamless developer experience.
🛠️Products & Tools (3)
Supabase's official Model Context Protocol (MCP) server connects AI coding agents — Cursor, Claude, Windsurf, GitHub Copilot, and Cline — directly to a Supabase backend. It exposes more than 20 tools for querying the database, managing schemas and migrations, deploying edge functions, handling storage, and reading debug logs, all in natural language. The hosted server at mcp.supabase.com uses OAuth 2.1, so there are no API keys to manage.
database.build (formerly postgres.new) is Supabase's in-browser Postgres sandbox with an AI assistant. Powered by PGlite — a WebAssembly build of Postgres that runs entirely in the browser — it lets you spin up unlimited databases, describe what you want in natural language to scaffold tables, drag and drop a CSV to auto-generate schema, and query with SQL. Version 2 adds bring-your-own-LLM support. It is free and open source.
PostgreSQL-based vector storage using the pgvector extension. Seamlessly combines traditional relational data with vector search in a single database.
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