| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to define and orchestrate functions using a schema-based approach, enabling seamless integration with various APIs and services. It leverages a model-context-protocol (MCP) architecture to manage function calls, ensuring that data flows correctly between components and that the context is preserved throughout the execution. This design choice allows for a more structured and predictable interaction with external services compared to traditional REST APIs.
Unique: Utilizes a schema-driven approach to define and manage function calls, which enhances clarity and reduces errors compared to traditional methods.
vs alternatives: More structured and context-aware than typical REST API integrations, reducing the risk of data inconsistency.
This capability enables real-time synchronization of data between the Supabase backend and connected clients. It employs WebSocket connections to push updates instantly, ensuring that all clients have the latest data without the need for manual refreshes. This architecture is particularly beneficial for applications requiring live updates, such as collaborative tools or dashboards.
Unique: Incorporates WebSocket technology for instant data updates, contrasting with traditional polling methods that can introduce latency.
vs alternatives: Offers lower latency and immediate updates compared to polling-based solutions.
This capability provides a comprehensive system for managing user authentication and authorization using Supabase's built-in features. It integrates with JWT tokens for secure access control and allows for role-based permissions, ensuring that users can only access the resources they are authorized to. This approach simplifies security management by leveraging Supabase's existing infrastructure.
Unique: Utilizes Supabase's built-in authentication mechanisms, providing a streamlined and secure way to manage user access compared to custom implementations.
vs alternatives: More secure and easier to implement than custom authentication solutions, leveraging established protocols.
This capability automates the process of database schema migrations using Supabase's migration tools. It allows developers to define changes in a structured format, which can be versioned and applied consistently across different environments. This ensures that the database schema remains in sync with application code, reducing the risk of errors during deployment.
Unique: Integrates tightly with Supabase's migration tools, providing a more reliable and consistent migration process than manual methods.
vs alternatives: Offers a more structured and error-resistant approach to migrations compared to ad-hoc scripts.
This capability allows developers to create custom API endpoints directly within the Supabase environment, enabling tailored interactions with the database. It utilizes Supabase's serverless functions to define the logic for these endpoints, allowing for complex business logic to be implemented without needing a separate backend service. This approach streamlines development by keeping everything within the Supabase ecosystem.
Unique: Enables the creation of custom API endpoints using serverless functions, reducing the need for external services and keeping everything within Supabase.
vs alternatives: More integrated and streamlined than using separate backend services for custom API logic.
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.
Supabase scores higher at 42/100 vs selfhosted-supabase-mcp at 22/100. selfhosted-supabase-mcp leads on ecosystem, while Supabase is stronger on quality.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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
+1 more capabilities