Supabase MCP Selfhosted
S

Supabase MCP Selfhosted

The self-hosted Supabase MCP server provides complete management functions for private Supabase instances, including over 54 MCP tools, supporting all-round management of databases, authentication, storage, real-time data, migration, and monitoring.
2.5 points
6.0K

What is the Supabase MCP Server?

The Supabase MCP server is a middleware based on the Model Context Protocol (MCP) that allows you to interact with self-hosted Supabase instances through a standardized protocol. It serves as a bridge between AI assistants (such as Claude, ChatGPT, etc.) and your Supabase database, enabling AI to securely perform tasks like database operations, user management, and file handling.

How to Use the Supabase MCP Server?

You can use this server in two main ways: 1) Integrate it as an SDK into the Smithery platform, 2) Run it as an independent HTTP server. After configuring the Supabase connection information, the AI assistant can call various tools through the MCP protocol to manage your Supabase instance.

Use Cases

This server is particularly suitable for the following scenarios: development teams that need AI assistants to help manage databases, DevOps engineers who want to automate Supabase operation and maintenance tasks, enterprises that require a secure and controllable way for AI to access databases, and developers building AI applications based on Supabase.

Main Features

Database Management
Provides 15 tools for complete database operation functions such as SQL query execution, table structure viewing, index management, database backup and recovery, and performance optimization.
Authentication Management
8 tools for managing Supabase Auth users, including user creation, update, deletion, role management, and JWT verification.
Storage Management
6 tools for managing Supabase Storage, including file upload and download, storage bucket management, object list viewing, and storage policy configuration.
Real-time Features
4 tools for managing Supabase Realtime features, including publish-subscribe management, channel creation, and real-time data stream monitoring.
Migration Tools
8 tools for database migration management, supporting advanced functions such as intelligent migration, automatic migration, schema synchronization, and migration verification.
Monitoring and Analytics
5 tools providing functions such as real-time monitoring, performance analysis, security auditing, log viewing, and RLS policy coverage analysis.
Security Features
Built-in SQL injection protection, rate limiting, audit logs, and HTTPS encryption to ensure the security and controllability of all operations.
Multiple Deployment Methods
Supports Smithery SDK integration, Docker containerized deployment, Railway cloud deployment, and traditional HTTP server operation.
Advantages
Comprehensive functions: Provides over 54 tools covering all core functions of Supabase
Secure and reliable: Built-in multiple security protection mechanisms to prevent attacks such as SQL injection
Easy to integrate: Supports the standard MCP protocol and can be seamlessly integrated with various AI assistants
Flexible deployment: Supports multiple deployment methods to meet different environmental requirements
Performance optimization: Designed for production environments, providing real-time monitoring and performance analysis
Open source and free: Based on the MIT license, it can be freely used and modified
Limitations
Technical requirements: Basic knowledge of Supabase and the MCP protocol is required
Complex configuration: Correct configuration of environment variables and connection information is required for the initial setup
External dependency: An effective Supabase instance is required to work properly
Learning curve: Non-technical users may need time to understand all tool functions
Resource consumption: As middleware, it will consume additional server resources

How to Use

Prepare the Environment
Ensure that you have a Python 3.11+ environment and an available Supabase instance (self-hosted or cloud version).
Get the Code
Clone the project code from the GitHub repository to your local machine.
Install Dependencies
Install all Python dependency packages required by the project.
Configure the Connection
Set the environment variables required for the Supabase connection.
Start the Server
Choose the startup method according to your needs: Smithery SDK or an independent HTTP server.
Integrate into an AI Assistant
Configure the MCP server connection information in your AI assistant (such as Claude Desktop).

Usage Examples

AI Assistant Queries User Data
Let the AI assistant help you query user information in the database and perform data analysis.
Automated User Management
Use the AI assistant to batch manage user accounts, such as creating test users or updating user information.
Database Performance Optimization
Let the AI analyze database performance issues and provide optimization suggestions.
File Backup Management
Use the AI assistant to manage file backups and cleanups in the storage bucket.
Security Audit Check
Regularly let the AI conduct a security audit to check RLS policy coverage and permission configuration.

Frequently Asked Questions

Is the Supabase MCP server free?
How much technical knowledge do I need to use this server?
Is this server secure? Is there a risk of SQL injection?
Which AI assistants are supported?
Can I still use it if my Supabase instance is in a private network?
How to monitor the running status of the server?
Does it support team collaboration?
How to get support if there are problems?

Related Resources

GitHub Repository
Project source code and the latest version
Supabase Official Documentation
Complete official documentation for Supabase
MCP Protocol Specification
Official specification of the Model Context Protocol
Smithery Platform
MCP server deployment and management platform
Discord Community
MCP developer community for getting help and communication
Railway Deployment Guide
How to deploy this server on Railway
Docker Image
Official Docker image (if available)
Example Configuration Files
Example configuration files for various deployment methods

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
6.7K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
6.2K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
6.7K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.5K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
9.9K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
10.5K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.0K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
52.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
22.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
51.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
35.4K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
74.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase