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 repository
- Install dependencies
- Create
.env
file from example - Edit
.env
with your Supabase credentials - Start the server
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:
- Table information:
- Query assistance:
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
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.
GitHub Copilot과 Supabase 데이터베이스와 같은 AI 어시스턴트를 연결하는 브리지를 통해 AI가 스키마를 이해하고, 쿼리 작성을 지원하며, 데이터 모델과 관련된 컨텍스트 인식 제안을 제공할 수 있습니다.
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