| 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 real-time and historical cryptocurrency market data through a RESTful API. It employs a structured endpoint approach, enabling users to query specific metrics like price, volume, and market capitalization for various cryptocurrencies. The API is designed to handle multiple requests efficiently, making it suitable for applications needing up-to-date market information.
Unique: Utilizes a comprehensive set of endpoints that cover a wide range of cryptocurrencies and metrics, unlike many APIs that focus on a limited selection.
vs alternatives: More extensive data coverage than many alternatives, providing access to over 20 different metrics for each cryptocurrency.
This capability provides detailed information about various cryptocurrency exchanges, including trading pairs, fees, and supported currencies. It leverages a dedicated endpoint that aggregates data from multiple exchanges, allowing users to compare features and fees effectively. This structured approach enhances the user's ability to make informed trading decisions.
Unique: Offers a unified view of multiple exchanges, allowing users to easily compare trading conditions across platforms, which is often fragmented in other APIs.
vs alternatives: Provides a more comprehensive and user-friendly exchange comparison than most competing APIs.
This capability allows users to retrieve various blockchain-related metrics, such as transaction volume, active addresses, and network hash rates. It uses a modular endpoint structure that can be queried for specific blockchain data, enabling developers to integrate these metrics into their applications seamlessly. This modularity allows for targeted data retrieval based on user needs.
Unique: Integrates multiple blockchain metrics into a single API, allowing for comprehensive analytics without needing to aggregate data from multiple sources.
vs alternatives: More diverse metrics available compared to other blockchain data APIs, which often focus on a narrower set of data points.
This capability enables users to request cryptocurrency data in multiple fiat currencies, enhancing usability for global applications. It employs a currency conversion layer that automatically adjusts the data based on user preferences, ensuring that developers can cater to a diverse audience without additional complexity.
Unique: Offers built-in support for multiple fiat currencies in a single API call, reducing the need for additional conversion logic on the client side.
vs alternatives: Simplifies multi-currency integration compared to other APIs that require separate calls for each currency.
This capability allows users to access historical cryptocurrency data for analysis and trend identification. It uses a time-series data structure that enables users to specify date ranges and retrieve relevant data points efficiently. This capability is crucial for developers building analytical tools or applications that require historical context.
Unique: Provides a dedicated endpoint for historical data that supports flexible date ranges, unlike many APIs that only offer fixed periods.
vs alternatives: More flexible date range options compared to competitors that restrict historical data access.
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 CoinMarketCap MCP at 26/100.
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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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