Overview of Supabase MCP Server
In the rapidly evolving landscape of artificial intelligence and data management, the Supabase MCP Server stands out as a pivotal tool for businesses and developers. It seamlessly connects Supabase projects to a myriad of AI assistants such as Cursor, Claude, and Windsurf, enabling a new level of interaction and data handling. This integration is made possible through the Model Context Protocol (MCP), which standardizes communication between Large Language Models (LLMs) and external services like Supabase.
Key Features
Seamless Integration: The Supabase MCP Server allows AI assistants to directly interact with your Supabase projects. This means they can manage tables, fetch configurations, and query data efficiently.
Standardized Communication: By utilizing MCP, the server ensures that communication between LLMs and Supabase is standardized, reducing complexity and improving reliability.
Comprehensive Toolset: The server provides a wide range of tools for project management, database operations, and project configuration. This includes listing projects, managing databases, and even experimental branching features for advanced users.
Security and Control: With options like read-only mode, users can restrict the server to only perform read operations, enhancing security and control over data access.
Cross-Platform Compatibility: Whether you’re using Windows or running Node.js inside WSL, the server is designed to work seamlessly across different environments.
Use Cases
Data-Driven Decision Making: By connecting Supabase with AI assistants, businesses can automate data retrieval and analysis, leading to more informed decision-making processes.
Enhanced AI Capabilities: Developers can leverage the server to enhance the capabilities of their AI models, allowing them to interact with real-time data and perform complex operations.
Efficient Project Management: The server’s project management tools enable users to efficiently manage their Supabase projects, from creation to configuration and beyond.
Secure Data Handling: With features like read-only mode, businesses can ensure that their data is handled securely, preventing unauthorized write operations.
UBOS Platform Integration
The UBOS platform, a full-stack AI Agent Development Platform, complements the Supabase MCP Server by providing a robust environment for developing AI agents. UBOS focuses on integrating AI agents into every business department, orchestrating their interaction with enterprise data, and building custom AI solutions. By combining UBOS with the Supabase MCP Server, businesses can achieve unparalleled levels of automation and intelligence, transforming how they operate and make decisions.
In conclusion, the Supabase MCP Server is an indispensable tool for any organization looking to harness the power of AI and data in a seamless, efficient, and secure manner. Its integration capabilities, comprehensive toolset, and compatibility with the UBOS platform make it a must-have for modern businesses and developers.
Supabase MCP Server
Project Details
- supabase-community/supabase-mcp
- Apache License 2.0
- Last Updated: 4/22/2025
Recomended MCP Servers
Connect any Open Data to any LLM with Model Context Protocol.
simple logseq mcp server
A Model Context Protocol Server for Interacting with Slack
Connect Rhino3D to Claude AI via the Model Context Protocol
A docker MCP Server (modelcontextprotocol)
A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.
Earthdata MCP Server
MCP server for Cursor that leverages Gemini's much larger context window to enhance the capabilities of the AI...
A redmine MCP server covering close to 100% of redmines API
A Model Context Protocol server that executes commands in the current iTerm session - useful for REPL and...