Supabase Next.js MCP Server

Overview

The Supabase‑Next.js MCP Server is a lightweight, TypeScript‑based Model Context Protocol implementation that turns a Supabase database into an AI‑ready notes platform. It solves the common developer pain point of wiring up external data stores to an AI assistant: you can now expose structured, queryable notes directly through the MCP interface without writing custom connectors or API gateways. By leveraging Supabase’s real‑time capabilities, the server keeps the AI’s view of the notes in sync with any changes made by users or other applications, ensuring that Claude and other MCP‑compatible assistants always work with the latest information.

At its core, the server presents a resource namespace () that lets an assistant enumerate and fetch individual notes. Each note is represented as a plain‑text resource with associated metadata—title, content, and timestamps—which the assistant can read or embed into prompts. The simplicity of plain‑text MIME types keeps the integration friction low while still allowing rich text handling in downstream LLM workflows. The server also exposes a tool called , enabling an assistant to programmatically add new notes by supplying a title and content. This creates a full round‑trip experience where the assistant can both read from and write to the notes store, fostering interactive workflows such as meeting minutes, task lists, or research summaries.

A standout feature is the prompt. When invoked, the server aggregates all stored notes, embeds them as resources within a single structured prompt, and hands that prompt to an LLM. The assistant can then generate concise summaries or insights without needing to fetch each note individually. This pattern demonstrates how MCP servers can offload heavy data aggregation and prompt construction to the server side, reducing latency and keeping the assistant’s prompt size manageable.

Developers can integrate this MCP server into existing AI pipelines with minimal friction. In a typical setup, Claude Desktop or any MCP‑compatible client adds the server via a simple JSON configuration. Once running, the assistant can list notes (), create new ones (), and request a summary () all through the standard MCP command channel. Because the server runs on Node.js and relies only on environment variables for Supabase credentials, it fits naturally into CI/CD workflows or serverless deployments.

In real‑world scenarios, this MCP server is ideal for teams that need a shared knowledge base accessible to AI assistants—such as collaborative note‑taking during remote workshops, auto‑generating meeting agendas from past notes, or building a personal knowledge graph that Claude can query on demand. Its tight coupling with Supabase means authentication, real‑time updates, and scalability are handled out of the box, letting developers focus on crafting higher‑level AI interactions rather than plumbing data into the assistant.