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Build and manage an AI-native backend with Postgres, auth, storage, and MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "butterbase" yet — see the docs or source repo.
Using butterbase, design a backend for a task management app: create users, projects, and tasks tables, set up basic RLS policies, enable email auth, and provide the required steps and sample code.
Provides schema design, RLS rules, auth setup guidance, and practical initialization code or steps.
Use butterbase to configure a RAG workflow: connect product docs in file storage, create a vector retrieval setup, and explain how to expose it to AI Q&A through MCP.
Returns a RAG setup plan covering storage, indexing, retrieval, and MCP integration.
Plan a realtime notification system with butterbase: when task status changes, trigger a TypeScript serverless function, write a notification, and push it to the relevant user in realtime.
Provides event flow design, function logic, table recommendations, and a realtime delivery approach.
Manage PocketBase databases, auth, files, backups, and hooks through a standard protocol.
Manage Baserow workspaces, tables, and rows through natural language.
Connect AI agents to PostgreSQL with zero config and auto-provisioning.
Connect Supabase projects to AI assistants for database and backend workflows.
Connect AI assistants to PostgreSQL for secure querying, management, and analysis.
Manage a Supabase upload app’s content and subscribers with natural language.