Supabase MCP Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Provides environment variable management for securely storing configuration settings like Supabase credentials needed by the MCP server.
Listed as a prerequisite for the MCP server implementation, indicating Git integration for version control of the server codebase.
Enables GitHub Copilot to interact with Supabase databases through the MCP server, providing database schema information and query assistance based on the connected Supabase instance.
Supabase MCP Server Implementation Plan
This document outlines the plan for creating a Model Context Protocol (MCP) server that connects to Supabase, allowing AI assistants like GitHub Copilot to interact with your Supabase database.
Table of Contents
- Overview
- Prerequisites
- Implementation Steps
- Server Architecture
- Configuration
- Security Considerations
- Installation Guide
- Usage Examples
- Troubleshooting
Overview
The Supabase MCP server will act as a bridge between AI assistants (like GitHub Copilot) and your Supabase database. This allows the AI to:
- Understand your database schema
- Know about tables and relationships
- Assist with query writing
- Provide context-aware suggestions related to your data model
Prerequisites
- Node.js 18+ installed
- npm or yarn package manager
- Supabase project with admin API key
- VS Code with Copilot/MCP support
- Git
Implementation Steps
1. Create Server Package
2. Install Dependencies
3. Basic Server Structure
Create these files:
src/index.js
- Main entry pointsrc/supabase-client.js
- Supabase connection handlingsrc/schema-provider.js
- Database schema extractionsrc/query-handler.js
- Safe query execution.env.example
- Environment variable templateconfig.js
- Configuration management
4. Server Implementation Details
src/index.js
This file will initialize the MCP server and connect the components:
src/supabase-client.js
src/schema-provider.js
src/query-handler.js
config.js
.env.example
5. Supabase Database Functions
You'll need to create these stored procedures in Supabase:
get_schema_information()
- Returns database schemaget_table_information(table_name TEXT)
- Returns info about specific tableexecute_query(query_string TEXT, query_params JSONB)
- Safely executes queries
Server Architecture
Configuration
Add the Supabase MCP server to your VS Code settings.json
:
Security Considerations
- API Key Management:
- Use a scoped API key with minimum required permissions
- Store API keys securely, never commit to version control
- Consider using a key rotation strategy
- Query Restrictions:
- Default to SELECT-only for safety
- Consider implementing a query allowlist approach
- Add rate limiting to prevent abuse
- Data Protection:
- Avoid exposing PII or sensitive data
- Implement row-level security in Supabase
- Consider adding data masking for sensitive fields
Installation Guide
Local Development
- Clone the repositoryCopy
- Install dependenciesCopy
- Create
.env
file from exampleCopy - Edit
.env
with your Supabase credentials - Start the serverCopy
VS Code Integration
- Update your VS Code
settings.json
with the server configuration - Restart VS Code
- Verify the server is running in the VS Code MCP panel
Usage Examples
Once integrated, you can use the Supabase MCP server in various ways:
- Schema exploration:Copy
- Table information:Copy
- Query assistance:Copy
Troubleshooting
Server won't start
- Check your Node.js version (should be 18+)
- Verify your Supabase credentials
- Check for error logs in the terminal
Schema not loading
- Verify your Supabase service key has necessary permissions
- Check that the database functions are properly created
VS Code can't connect
- Check that the server path in settings.json is correct
- Restart VS Code after configuration changes
- Verify the server process is running
This server cannot be installed
A bridge between AI assistants like GitHub Copilot and Supabase databases, allowing AI to understand schema, assist with query writing, and provide context-aware suggestions related to your data model.