| 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 Ethereum wallet balances by querying the Etherscan API, which interfaces directly with the Ethereum blockchain. It utilizes a RESTful architecture to fetch real-time data, ensuring that the balance reflects the latest state of the blockchain. The API can handle multiple wallet addresses in a single request, optimizing the retrieval process for users managing multiple accounts.
Unique: Optimizes balance retrieval by allowing batch requests for multiple addresses, reducing the number of API calls needed.
vs alternatives: More efficient than individual queries due to batch processing capabilities.
This capability enables users to fetch the transaction history of a specific Ethereum address by making a call to the Etherscan API. It employs pagination to handle large datasets, allowing users to specify the number of transactions to retrieve per request. The API returns detailed transaction data, including timestamps, amounts, and transaction hashes, formatted in JSON for easy integration.
Unique: Utilizes pagination to efficiently manage large transaction histories, allowing for tailored data retrieval.
vs alternatives: More user-friendly than alternatives that require manual pagination handling.
This capability allows users to track token transfers associated with a specific Ethereum address by querying the Etherscan API. It leverages event logs from the Ethereum blockchain to identify and return token transfer events, providing comprehensive details such as token type, sender, receiver, and transaction value. The API can filter results by token contract address, enhancing usability for developers focused on specific tokens.
Unique: Filters token transfer events directly from blockchain logs, ensuring accurate and real-time tracking of token movements.
vs alternatives: More precise than generic transaction history queries, focusing specifically on token transfers.
This capability allows users to fetch the Application Binary Interface (ABI) of Ethereum smart contracts through the Etherscan API. It uses a straightforward API endpoint that returns the ABI in JSON format, making it easy for developers to integrate smart contracts into their applications. The retrieval process is optimized for speed, ensuring that developers can quickly access the necessary contract details for interaction.
Unique: Directly accesses verified contract ABIs, ensuring that developers get accurate and up-to-date information for integration.
vs alternatives: Faster and more reliable than scraping contract data from other sources.
This capability provides users with the current gas prices on the Ethereum network by querying the Etherscan API. It employs a simple endpoint that returns gas price data in real-time, allowing developers to optimize transaction costs based on network conditions. The API can return multiple gas price estimates (low, average, high), helping users make informed decisions about transaction timing.
Unique: Provides multiple gas price estimates in a single call, allowing for better transaction fee planning.
vs alternatives: More comprehensive than other APIs that only provide a single gas price estimate.
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 Etherscan Tools 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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