Supabase MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Supabase through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Supabase, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Supabase MCP Server
Integrate the comprehensive backend infrastructure of Supabase straight into your conversational LLM workflows. By securely authenticating with your service_role key, your AI assistant bypasses row-level security constraints, operating as a fully-privileged database administrator. Query rows, invoke complex PL/pgSQL functions via RPC, evaluate the authenticated user roster, and audit your active storage buckets all through simple natural language commands, accelerating debugging and environment iterations without leaving the terminal.
The Vercel AI SDK gives every Supabase tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Database Interactions — Actively query datasets using
db_select, seamlessly add new rows executingdb_insert, and modify existing data structures applyingdb_updateordb_delete. - Custom Functional Logic — Invoke pre-compiled database procedures and PL/pgSQL functions securely utilizing
db_rpcwith dynamic JSON arguments. - Authentication Tracking — Audit your userbase and confirm authentication statuses instantly fetching native rosters through
list_auth_users. - Storage Diagnostics — Inspect configured object storage containers mapping file architectures securely invoking
list_storage_buckets.
The Supabase MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Supabase to Vercel AI SDK via MCP
Follow these steps to integrate the Supabase MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Supabase and passes them to the LLM
Why Use Vercel AI SDK with the Supabase MCP Server
Vercel AI SDK provides unique advantages when paired with Supabase through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Supabase integration everywhere
Built-in streaming UI primitives let you display Supabase tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Supabase + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Supabase MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Supabase in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Supabase tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Supabase capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Supabase through natural language queries
Supabase MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Supabase to Vercel AI SDK via MCP:
db_count
Useful for pagination and analytics. Count rows in a database table with optional filters
db_delete
A match_query is mandatory. This action is irreversible. Delete rows from a database table
db_insert
Provide the payload as a JSON string. Insert a new row into a database table
db_rpc
Provide the function name and optional JSON arguments. Execute a Supabase Postgres Function (RPC)
db_select
For filters, use match_query (e.g. "id=eq.1"). Defaults to 50 rows. Query records from any PostgreSQL database table using PostgREST syntax
db_update
A match_query is required to target specific rows (e.g. "id=eq.123"). Update existing rows in a database table
get_auth_user
Get detailed information about a specific authenticated user
list_auth_users
List authenticated users from Supabase Auth
list_storage_buckets
List all available storage buckets
list_storage_files
List files inside a storage bucket
Example Prompts for Supabase in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Supabase immediately.
"Verify the 'inventory_products' table sequentially effectively correctly querying all products labeled 'out-of-stock'."
"Trigger the custom stored procedure 'restock_items' using `db_rpc` to replenish the inventory of IDs 12 and 15 natively."
"Check all registered accounts dynamically applying `list_auth_users` for recent logins natively securely."
Troubleshooting Supabase MCP Server with Vercel AI SDK
Common issues when connecting Supabase to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSupabase + Vercel AI SDK FAQ
Common questions about integrating Supabase MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Supabase with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Supabase to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.