| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to create PEM wallets for the MultiversX blockchain using a secure key generation algorithm. It employs cryptographic techniques to ensure that private keys are generated and stored securely, preventing unauthorized access. The implementation leverages industry-standard libraries for cryptography, ensuring compliance with best practices in wallet security.
Unique: Utilizes a combination of hardware and software-based key generation to enhance security, unlike alternatives that may rely solely on software.
vs alternatives: More secure than typical wallet creation tools that do not incorporate hardware-based key generation.
This capability enables users to retrieve wallet addresses associated with their PEM wallets by querying the MultiversX blockchain. It uses a direct API call to the blockchain, ensuring that the information is up-to-date and accurate. The implementation is optimized for speed, allowing for quick lookups without significant latency.
Unique: Optimized for low-latency retrieval by caching frequently accessed addresses, reducing the need for repeated API calls.
vs alternatives: Faster than many alternatives due to its caching mechanism, which minimizes redundant API requests.
This capability allows users to check the balances of various token types, including EGLD and NFTs, within their PEM wallets. It works by querying the MultiversX blockchain for the current balance of each token, returning structured data that can be easily parsed and displayed. The implementation is designed to handle multiple token queries simultaneously, improving efficiency.
Unique: Supports simultaneous balance checks for multiple tokens, unlike many alternatives that only allow single token queries.
vs alternatives: More efficient than competitors that require separate requests for each token balance.
This capability enables users to send various token types, including EGLD and NFTs, from their PEM wallets. It utilizes a transaction-building process that constructs the necessary payload for the blockchain, ensuring that all required parameters are included. The implementation includes validation checks to confirm that the wallet has sufficient balance before executing the transaction.
Unique: Incorporates built-in validation for balance and transaction parameters, reducing the risk of failed transactions.
vs alternatives: More reliable than alternatives that do not perform pre-transaction validation, leading to fewer errors.
This capability allows users to manage NFTs within their PEM wallets, including viewing, transferring, and listing NFTs. It connects to the MultiversX blockchain to retrieve NFT metadata and ownership details. The implementation is designed to handle NFT-specific queries efficiently, ensuring that users can interact with their NFTs seamlessly.
Unique: Provides comprehensive NFT management features, including metadata retrieval and transfer capabilities, which are often fragmented in other tools.
vs alternatives: More feature-rich than many NFT management tools that focus solely on viewing or transferring.
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 MultiversX MCP Server 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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