| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to create, manage, and secure Algorand accounts through a unified interface. It employs a secure wallet architecture that integrates with Algorand's SDK, enabling users to perform operations like account creation and balance retrieval seamlessly. The implementation uses best practices for cryptographic key storage to enhance security.
Unique: Utilizes a secure wallet architecture that integrates directly with Algorand's SDK for seamless account management.
vs alternatives: More secure than traditional wallet solutions due to its integration with Algorand's native SDK.
This capability enables users to create and manage Algorand assets and execute transactions through a streamlined interface. It leverages Algorand's atomic transfer feature, allowing users to bundle multiple transactions into a single atomic group, ensuring all or none of the transactions are executed. This is particularly useful for complex asset management scenarios.
Unique: Incorporates Algorand's atomic transfer feature for bundling transactions, ensuring consistency and reliability.
vs alternatives: Offers superior transaction reliability compared to standard transaction methods by using atomic groups.
This capability allows users to search and retrieve on-chain data from the Algorand blockchain efficiently. It employs a structured query interface that interacts with Algorand's indexer API, enabling users to fetch transaction details, asset information, and account states. The implementation is optimized for performance, allowing quick access to relevant blockchain data.
Unique: Utilizes Algorand's indexer API for optimized data retrieval, ensuring fast and efficient access to on-chain information.
vs alternatives: Faster than traditional blockchain explorers due to direct integration with Algorand's indexer.
This capability facilitates the deployment and management of Algorand smart contracts through a user-friendly interface. It utilizes Algorand's TEAL (Transaction Execution Approval Language) for smart contract scripting, allowing developers to write, test, and deploy contracts directly within the platform. The implementation includes tools for debugging and testing contracts on the testnet before moving to mainnet.
Unique: Integrates a testing and debugging environment for TEAL scripts, streamlining the smart contract development lifecycle.
vs alternatives: More comprehensive than standalone TEAL tools due to its integrated testing and deployment features.
This capability automates the process of conducting atomic swaps between different assets on the Algorand blockchain. It employs a predefined workflow that utilizes Algorand's atomic transfer capabilities, ensuring that swaps are executed atomically without the risk of partial completion. The implementation allows users to define custom swap parameters and conditions, enhancing flexibility.
Unique: Provides a customizable workflow for atomic swaps, allowing users to define specific conditions and parameters for each transaction.
vs alternatives: More flexible than standard atomic swap implementations due to its customizable workflow options.
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 algorand-mcp at 29/100.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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
+1 more capabilities