Supabase MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Supabase through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"supabase": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Supabase Agent",
instructions:
"You help users interact with Supabase " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Supabase?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Supabase tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Supabase MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Supabase via MCP
Why Use Mastra AI with the Supabase MCP Server
Mastra AI provides unique advantages when paired with Supabase through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Supabase without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Supabase tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Supabase + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Supabase MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Supabase, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Supabase as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Supabase on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Supabase tools alongside other MCP servers
Supabase MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Supabase to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Supabase to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSupabase + Mastra AI FAQ
Common questions about integrating Supabase MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.