Supabase ranks higher at 42/100 vs Cannabis Regulatory Intelligence at 32/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | Cannabis Regulatory Intelligence | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 32/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality |
| 0 |
| 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 query cannabis testing limits for various substances across 18+ US states. It utilizes a centralized database that aggregates testing regulations and limits, enabling efficient retrieval of compliance data. The system is designed to handle complex queries and return structured results based on state-specific regulations, making it distinct in its comprehensive coverage of state laws.
Unique: Integrates a multi-state regulatory framework into a single query interface, allowing for rapid cross-state comparisons.
vs alternatives: More comprehensive than state-specific tools as it aggregates data from multiple jurisdictions in one API.
This capability verifies cannabis substances against international regulations, including the UN INCB Yellow List and EU Drug Precursors Regulation. It employs a lookup mechanism that cross-references substances with a database of controlled chemicals, ensuring compliance with international standards. This feature is particularly useful for businesses operating in multiple jurisdictions, as it simplifies the compliance process.
Unique: Utilizes a multi-database approach to ensure compliance with both UN and EU regulations in a single query.
vs alternatives: More efficient than manual checks as it automates cross-referencing against multiple international databases.
This capability checks cannabis products against Health Canada's compliance regulations, encompassing 383 specific regulations. It uses a structured query system that allows users to input product details and receive compliance status based on the latest regulations. This feature is crucial for businesses operating in Canada, ensuring they meet all necessary legal requirements.
Unique: Specifically tailored to Health Canada's extensive regulatory framework, providing detailed compliance checks.
vs alternatives: More focused than general compliance tools, offering in-depth checks specific to Canadian regulations.
This capability enables users to perform queries across multiple regulatory databases, including state laws, international regulations, and Health Canada compliance. It employs a unified query interface that abstracts the complexity of interacting with different data sources, allowing users to retrieve comprehensive regulatory information seamlessly. This architecture is designed to handle diverse data formats and provide consistent output.
Unique: Offers a seamless querying experience across disparate regulatory databases, reducing the need for multiple tools.
vs alternatives: More efficient than using separate tools for each database, providing a holistic view of compliance.
This capability provides users with real-time notifications about changes in cannabis regulations across different jurisdictions. It uses a subscription model where users can opt-in to receive updates via email or API calls whenever there are changes in the regulatory databases. This ensures that businesses stay informed about compliance requirements without manual checking.
Unique: Utilizes a proactive notification system that alerts users to regulatory changes, minimizing compliance risks.
vs alternatives: More immediate than periodic manual checks, ensuring timely awareness of regulatory shifts.
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 Cannabis Regulatory Intelligence at 32/100.
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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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