| 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 create and manage multiple tenants through a streamlined admin interface. It utilizes a microservices architecture to handle tenant isolation and resource allocation, ensuring that each tenant operates independently while sharing underlying infrastructure. The use of starter templates enables rapid deployment and customization of tenant environments, making it easier for users to get started quickly.
Unique: Employs a microservices architecture that allows for seamless tenant isolation and resource sharing, unlike traditional monolithic setups.
vs alternatives: More efficient tenant management compared to traditional frameworks due to its microservices-based approach.
This capability implements secure API authentication mechanisms to ensure that only authorized users can access tenant-specific resources. It uses OAuth 2.0 and JWT tokens for secure token-based authentication, allowing for easy integration with third-party services while maintaining high security standards. The architecture supports dynamic token generation and validation, which enhances security and flexibility.
Unique: Utilizes OAuth 2.0 and JWT for secure, token-based authentication, which is more flexible than traditional session-based methods.
vs alternatives: Offers more robust security features compared to simpler token systems by supporting dynamic token generation.
This capability allows users to add and manage document templates within existing tenants, facilitating standardized workflows. It employs a template engine that dynamically renders documents based on user input and tenant-specific data, ensuring that all generated documents adhere to organizational standards. The system supports version control for templates, enabling users to track changes and updates over time.
Unique: Incorporates a dynamic template engine that allows for real-time rendering and version control, unlike static document generation systems.
vs alternatives: More flexible and user-friendly than traditional document generation tools due to real-time rendering capabilities.
This capability enables users to orchestrate requests to external APIs from within the tenant environment. It uses a function registry to define API endpoints and parameters, allowing for seamless integration with various third-party services. The orchestration layer handles error management and response parsing, ensuring that users can easily work with multiple APIs without deep technical knowledge.
Unique: Features a function registry that simplifies API integration and orchestration, making it easier than traditional hard-coded API calls.
vs alternatives: More user-friendly than manual API integration methods, allowing for less technical users to orchestrate complex workflows.
This capability focuses on scaling tenant workflows by providing tools for standardizing processes and automating repetitive tasks. It leverages a rules engine to define workflows and triggers, allowing users to automate actions based on specific events or conditions. The architecture supports modular workflow components, enabling users to customize and extend workflows as needed.
Unique: Utilizes a modular rules engine that allows for dynamic workflow customization and scaling, unlike rigid workflow systems.
vs alternatives: More adaptable than traditional workflow management tools due to its modular architecture.
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 Tenant Launchpad at 40/100.
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