| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to access various property-related data endpoints, such as Land Registry sold prices and rental yields, through a unique x402 protocol. By utilizing a pay-per-request model with USDC on the Base network, it eliminates the need for API keys, simplifying access for developers. The architecture is designed to handle multiple data types efficiently, ensuring quick retrieval and minimal latency.
Unique: The use of the x402 protocol for seamless payment and access without API keys sets this API apart from traditional data services.
vs alternatives: More accessible than traditional APIs that require complex authentication and setup.
This capability provides users with access to current, forecast, and historical weather data through dedicated endpoints. It utilizes a structured API design that allows for easy querying of various weather parameters, including air quality. The integration with real-time data sources ensures that users receive accurate and timely information.
Unique: The combination of current, forecast, and historical weather data in a single API endpoint provides a comprehensive solution for developers.
vs alternatives: Offers a more integrated approach than standalone weather APIs that require separate subscriptions.
This capability allows users to access detailed information about UK companies, including officer profiles and filings. It employs a straightforward querying mechanism that returns structured data, making it easy for developers to integrate company information into their applications. The API is designed to handle multiple requests efficiently, ensuring quick access to the latest company data.
Unique: The ability to retrieve comprehensive company data without the need for API keys or complex setups differentiates this API from others.
vs alternatives: More user-friendly than traditional company data APIs that require extensive authentication.
This capability provides users with access to vehicle-related data such as DVLA records, MOT status, and tax information. It leverages a structured API design that allows for efficient querying of vehicle data, ensuring that users can obtain the information they need quickly and without hassle. The integration with official databases ensures data accuracy and reliability.
Unique: The direct access to DVLA and MOT data without the need for API keys makes this API particularly convenient for developers.
vs alternatives: More streamlined than traditional vehicle data services that often require complex authentication.
This capability allows users to access a range of financial data, including interest rates, exchange rates, and inflation metrics. The API is designed to provide real-time data through a simple querying interface, making it easy for developers to integrate financial information into their applications. The architecture supports high-frequency requests, ensuring timely updates.
Unique: The ability to access a wide range of financial metrics through a single API endpoint without the need for API keys is a significant advantage.
vs alternatives: More comprehensive than traditional financial data APIs that often focus on a narrow set of metrics.
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 UK Data 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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