Supabase MCP Server
Connect your AI to Supabase. Execute database queries, manage users, and trigger PostgreSQL functions directly from your terminal.
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Supabase MCP Server : voyez votre AI Agent en action
Capacités intégrées (10)
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
Ce que ce connecteur débloque
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
1. Enable the Supabase MCP plugin as an active integration inside your configuration.
2. In the parameter matrix, bind your exact SUPABASE_URL and authenticate the AI utilizing your powerful SUPABASE_SERVICE_ROLE_KEY.
3. 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.
Questions fréquemment posées
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