Compatible with every major AI agent and IDE
Db count on Supabase
Useful for pagination and analytics. Count rows in a database table with optional filters
Db delete on Supabase
A match_query is mandatory. This action is irreversible. Delete rows from a database table
Db insert on Supabase
Provide the payload as a JSON string. Insert a new row into a database table
Db rpc on Supabase
Provide the function name and optional JSON arguments. Execute a Supabase Postgres Function (RPC)
Db select on Supabase
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 on Supabase
A match_query is required to target specific rows (e.g. "id=eq.123"). Update existing rows in a database table
Get auth user on Supabase
Get detailed information about a specific authenticated user
List auth users on Supabase
List authenticated users from Supabase Auth
List storage buckets on Supabase
List all available storage buckets
List storage files on Supabase
List files inside a storage bucket
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Supported Use Cases for Supabase
The Supabase integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Execute postgresql Commands with AI
The Supabase MCP translates LLM intent into specific postgresql actions. Agents like Cursor use this to interface securely with your loved by devs infrastructure.
AI-Driven backend as a service Workflows
The Supabase server exposes documented endpoints for backend as a service. This allows ChatGPT and Cursor to interact with loved by devs APIs seamlessly.
Supabase. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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