Supabase ranks higher at 42/100 vs Flight & Stay Search Server (Duffel API) at 29/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | Flight & Stay Search Server (Duffel API) | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 29/100 | 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 perform a one-way flight search by integrating with the Duffel API. It utilizes a RESTful approach to send requests to the API, retrieving flight options based on user-defined parameters such as departure location, destination, and date. The server processes the API response to present a structured list of available flights, including pricing and timing details.
Unique: Utilizes a direct integration with the Duffel API to ensure real-time flight data retrieval, rather than relying on cached data.
vs alternatives: More reliable than other flight search APIs due to real-time data access from Duffel.
This capability enables users to search for round-trip flights by leveraging the Duffel API. It constructs a request that includes both departure and return locations and dates, and processes the API's response to deliver a comprehensive list of round-trip options. The server handles the complexity of matching return flights with departure flights efficiently.
Unique: Optimized for round-trip searches by efficiently pairing departure and return flights through API calls.
vs alternatives: Offers a more streamlined user experience compared to competitors by minimizing the number of API calls needed.
This capability allows users to search for multi-city flights by constructing complex queries to the Duffel API. It supports multiple destinations and dates, enabling users to plan intricate travel itineraries. The server processes the API's response to provide a user-friendly output that details all possible flight combinations.
Unique: Employs a sophisticated query-building mechanism to handle multiple destinations seamlessly in a single API call.
vs alternatives: More flexible than traditional flight search tools that typically only support one-way or round-trip searches.
This capability analyzes flight pricing trends by querying the Duffel API for historical data and current pricing. It uses data aggregation techniques to provide insights into price fluctuations based on various factors like seasonality and demand. The server processes this data to generate reports or visualizations for users.
Unique: Incorporates advanced data aggregation techniques to provide comprehensive pricing insights rather than just real-time data.
vs alternatives: Offers deeper analytical capabilities compared to standard flight search APIs that focus solely on current pricing.
This capability allows users to set up notifications for flight availability based on specific criteria. It integrates with the Duffel API to monitor flight options and sends alerts when new flights become available that match user-defined parameters. The server uses webhooks to push notifications to users in real-time.
Unique: Utilizes webhooks for real-time notifications, ensuring users receive timely updates without manual checks.
vs alternatives: More proactive than traditional flight search tools, which require users to manually check for updates.
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 Flight & Stay Search Server (Duffel API) at 29/100.
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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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