Supabase MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Supabase through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Supabase Assistant",
instructions=(
"You help users interact with Supabase. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Supabase"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from Supabase through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Supabase, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Supabase MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Supabase
Why Use OpenAI Agents SDK with the Supabase MCP Server
OpenAI Agents SDK provides unique advantages when paired with Supabase through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Supabase + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Supabase MCP Server delivers measurable value.
Automated workflows: build agents that query Supabase, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Supabase, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Supabase tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Supabase to resolve tickets, look up records, and update statuses without human intervention
Supabase MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Supabase to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Supabase to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Supabase + OpenAI Agents SDK FAQ
Common questions about integrating Supabase MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.