Bring Postgresql
to Pydantic AI
Create your Vinkius account to connect Supabase to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Enable the Supabase MCP plugin as an active integration inside your configuration.
- In the parameter matrix, bind your exact
SUPABASE_URLand authenticate the AI utilizing your powerfulSUPABASE_SERVICE_ROLE_KEY. - Instruct your AI securely: "Retrieve the last 10 users from the 'subscribers' table where the status is 'active', and verify if our 'profiles' storage bucket is operational."
Who is this for?
- PostgreSQL Database Administrators — Run complex validation queries and invoke custom RPCs flawlessly parsing responses directly during analytical review workflows.
- Backend Developers — Iterate database structures, mock rapid insertions, and securely alter state without opening external platforms or writing repetitive query scripts.
- Full-Stack Engineers — Seamlessly query backend storage or resolve user authorization bugs directly tracking the root dependencies visually connected inside the IDE/CLI environment.
Built-in capabilities (10)
Useful for pagination and analytics. Count rows in a database table with optional filters
A match_query is mandatory. This action is irreversible. Delete rows from a database table
Provide the payload as a JSON string. Insert a new row into a database table
Provide the function name and optional JSON arguments. Execute a Supabase Postgres Function (RPC)
For filters, use match_query (e.g. "id=eq.1"). Defaults to 50 rows. Query records from any PostgreSQL database table using PostgREST syntax
A match_query is required to target specific rows (e.g. "id=eq.123"). Update existing rows in a database table
Get detailed information about a specific authenticated user
List authenticated users from Supabase Auth
List all available storage buckets
List files inside a storage bucket
Why Pydantic AI?
Pydantic AI validates every Supabase tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Supabase integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Supabase connection logic from agent behavior for testable, maintainable code
Supabase in Pydantic AI
Why run Supabase with Vinkius?
The Supabase connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Supabase using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Supabase and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Supabase to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Supabase for Pydantic AI
Every request between Pydantic AI and Supabase is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Why do I need to use the service role key instead of the safe public anon key?
The MCP integration operates inherently as an administration module properly securely autonomously. Utilizing the service_role actively gracefully securely circumvents logical Row Level Security settings globally, empowering correct system manipulation properly dynamically successfully without error friction organically.
Is there a safety measure preventing unintended whole table destructive deletions?
Yes. Commands mutating or destroying rows, such as accurately calling db_delete, rigorously mandate explicit logical matching definitions (like exact ID tracking) seamlessly inherently systematically mitigating risk effectively fully locally organically efficiently properly.
Can the AI call custom PostgreSQL functions (RPC)?
Yes. Use db_rpc to invoke any server-side PL/pgSQL function by name, passing JSON arguments. This lets the AI trigger stored procedures, computed views, or custom business logic directly.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Supabase MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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