| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows developers to retrieve detailed metadata for NFTs using a structured API call that interacts with the blockchain. It leverages Alchemy's optimized RPC endpoints to ensure low-latency responses and high throughput, making it distinct in its ability to handle multiple requests efficiently. The metadata includes attributes like ownership, transaction history, and associated media links, which are retrieved in a standardized format for easy integration into applications.
Unique: Utilizes optimized RPC endpoints specifically designed for NFT interactions, ensuring faster data retrieval than standard blockchain APIs.
vs alternatives: More efficient than standard Ethereum JSON-RPC calls due to specialized caching and endpoint optimizations.
This capability enables applications to fetch the latest block number from the blockchain using a simple API call. It employs Alchemy's real-time data streaming technology, which provides updates without the need for constant polling, thus reducing latency and resource consumption. This is particularly useful for applications that need to synchronize with the blockchain state in real-time.
Unique: Incorporates real-time data streaming to provide immediate updates on block changes, unlike traditional polling methods.
vs alternatives: Faster and more resource-efficient than traditional methods that require constant polling for block updates.
This capability allows developers to access the transaction history of a specific NFT, detailing all past ownership transfers and sales. It uses a combination of blockchain event listeners and Alchemy's enhanced APIs to provide comprehensive and accurate data. The results are formatted for easy consumption, allowing developers to integrate historical data into their applications seamlessly.
Unique: Combines blockchain event listeners with API calls to provide a complete and accurate transaction history, unlike simpler APIs that may only offer partial data.
vs alternatives: More comprehensive than basic NFT APIs that only provide current ownership without historical context.
This capability facilitates the creation and minting of new NFTs through a streamlined API endpoint. It utilizes Alchemy's smart contract templates to simplify the minting process, allowing developers to specify metadata and ownership details in a structured format. This approach reduces the complexity typically associated with NFT creation, making it accessible for developers without deep blockchain expertise.
Unique: Offers a simplified minting process through smart contract templates, reducing the technical barrier for NFT creation.
vs alternatives: Easier to use than raw smart contract interactions, which often require extensive coding knowledge.
This capability allows developers to perform NFT operations across multiple blockchain networks using a unified API interface. Alchemy's architecture abstracts the underlying blockchain differences, enabling seamless interactions with Ethereum, Polygon, and other supported chains. This multi-chain capability is particularly beneficial for applications targeting diverse user bases across different blockchain ecosystems.
Unique: Abstracts blockchain differences through a unified API, allowing for consistent NFT operations across various networks.
vs alternatives: More versatile than single-chain solutions, enabling broader application reach and user engagement.
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 Alchemy Plugin at 25/100.
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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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