| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to browse and manage database schemas directly from their development environment. It utilizes a real-time connection to the Supabase backend, enabling dynamic schema updates and visual representation of tables and relationships. The integration leverages Supabase's RESTful API to fetch schema information, making it easy to visualize and modify database structures without needing to write SQL commands manually.
Unique: Integrates directly with Supabase's real-time API to provide live updates on schema changes, unlike static schema viewers.
vs alternatives: More interactive and real-time compared to traditional database management tools that require manual refresh.
This capability allows users to run SQL queries directly from their development environment. It uses Supabase's RESTful API to send SQL commands and receive results in real-time, enabling immediate feedback and iterative development. The implementation supports both single queries and batch executions, making it versatile for various use cases.
Unique: Utilizes a direct connection to Supabase's API for executing SQL queries, providing faster feedback than traditional database clients.
vs alternatives: Faster execution and feedback loop compared to using external SQL clients that require context switching.
This capability facilitates the management of database migrations, allowing users to create, apply, and roll back migrations directly from their development environment. It leverages Supabase's migration API, enabling version control for database schemas and ensuring that changes are tracked and reversible. The implementation includes a CLI interface for easy command execution and migration history tracking.
Unique: Integrates migration management directly into the development workflow, allowing for seamless version control and collaboration.
vs alternatives: More integrated and user-friendly compared to standalone migration tools that require additional setup.
This capability generates TypeScript types based on the current database schema, ensuring that the codebase remains in sync with the database structure. It uses introspection of the Supabase schema to create accurate type definitions, which can be directly imported into TypeScript projects. This feature helps prevent type mismatches and enhances developer productivity by providing type safety.
Unique: Automatically generates TypeScript types directly from the Supabase schema, reducing manual type definition work.
vs alternatives: More automated and less error-prone than manually writing TypeScript types based on database schemas.
This capability allows developers to manage user authentication and authorization directly from their development environment. It leverages Supabase's authentication API to create, update, and delete user accounts, as well as manage roles and permissions. The implementation provides a user-friendly interface for handling common authentication tasks without needing to write extensive backend code.
Unique: Provides a streamlined interface for managing user authentication directly within the development environment, unlike traditional methods that require backend setup.
vs alternatives: More accessible and integrated than using separate authentication management tools that require additional configuration.
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
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