Yazdani-Supabase-MCP-Server
A Supabase PostgreSQL MCP server with Claude 3.7 Sonnet integration for natural language to SQL conversion
What is Yazdani-Supabase-MCP-Server?
what is Yazdani-Supabase-MCP-Server? Yazdani-Supabase-MCP-Server is a server that integrates with Supabase PostgreSQL and utilizes Claude 3.7 for converting natural language queries into SQL, designed for seamless integration with React Native applications. how to use Yazdani-Supabase-MCP-Server? To use the server, clone the repository, install the dependencies, set up your environment variables, and run the server either with a live database or in mock mode for testing. key features of Yazdani-Supabase-MCP-Server? Schema Inspection: View database schemas, tables, columns, and relationships. SQL Execution: Run SQL queries with safety controls. Migration Management: Manage database migrations. Natural Language Processing: Convert natural language to SQL using Claude 3.7. Mock Database Mode: Develop and test without a live database connection. Auto-Fallback Mechanism: Automatically switch to mock data if the database connection fails. use cases of Yazdani-Supabase-MCP-Server? Enabling developers to run SQL queries using natural language. Facilitating database management and migration tasks. Supporting React Native applications with a robust backend. FAQ from Yazdani-Supabase-MCP-Server? Can I use this server without a live database? Yes! The server supports a mock database mode for development and testing. What are the prerequisites for running the server? You need Python 3.8 or higher and access to a Supabase PostgreSQL database (optional with mock mode). How does the natural language processing feature work? It uses Claude 3.7 to convert natural language queries into SQL commands.
As an MCP (Model Context Protocol) server, Yazdani-Supabase-MCP-Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Yazdani-Supabase-MCP-Server
To use the server, clone the repository, install the dependencies, set up your environment variables, and run the server either with a live database or in mock mode for testing. key features of Yazdani-Supabase-MCP-Server? Schema Inspection: View database schemas, tables, columns, and relationships. SQL Execution: Run SQL queries with safety controls. Migration Management: Manage database migrations. Natural Language Processing: Convert natural language to SQL using Claude 3.7. Mock Database Mode: Develop and test without a live database connection. Auto-Fallback Mechanism: Automatically switch to mock data if the database connection fails. use cases of Yazdani-Supabase-MCP-Server? Enabling developers to run SQL queries using natural language. Facilitating database management and migration tasks. Supporting React Native applications with a robust backend. FAQ from Yazdani-Supabase-MCP-Server? Can I use this server without a live database? Yes! The server supports a mock database mode for development and testing. What are the prerequisites for running the server? You need Python 3.8 or higher and access to a Supabase PostgreSQL database (optional with mock mode). How does the natural language processing feature work? It uses Claude 3.7 to convert natural language queries into SQL commands.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Yazdani-Supabase-MCP-Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Yazdani-Supabase-MCP-Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.