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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Executes stock market trades through the Model Context Protocol (MCP) interface, enabling LLM agents and applications to place buy/sell orders on connected brokerage accounts. The capability integrates with Trade Agent's backend API to route trade requests through authenticated broker connections, handling order validation, execution confirmation, and error handling within the MCP message protocol framework.
Unique: Implements trading as an MCP tool, enabling seamless integration with Claude and other MCP-compatible LLM clients without requiring custom API client code; abstracts multi-broker complexity behind a standardized protocol interface
vs alternatives: Simpler integration than direct broker API SDKs for LLM applications because MCP handles protocol translation and authentication management, though with added latency vs direct API calls
Executes cryptocurrency trades (buy/sell orders for digital assets) through the MCP interface, connecting LLM agents to crypto exchange accounts via Trade Agent's backend. Handles crypto-specific order types (limit, market, stop-loss) and manages wallet/exchange account routing, with support for multiple blockchain networks and trading pairs.
Unique: Abstracts multi-exchange crypto trading complexity through a single MCP interface, supporting both centralized exchange orders and cross-chain asset routing without requiring separate exchange SDK integrations
vs alternatives: Easier than managing individual exchange APIs for crypto trading because MCP standardizes order formats and authentication, though less flexible than direct exchange API access for advanced order types
Monitors the status of submitted trades in real-time and provides status updates through MCP callback mechanisms or polling. Tracks order lifecycle (pending, filled, partially filled, cancelled, rejected) and notifies the calling LLM application of state changes, enabling agents to react to execution outcomes and adjust subsequent trading decisions.
Unique: Integrates order monitoring as a first-class MCP capability rather than requiring separate polling loops, enabling LLM agents to declaratively await order completion without custom event handling code
vs alternatives: More convenient for LLM agents than manual polling of broker APIs because status updates are exposed as MCP tools, though potentially higher latency than direct broker WebSocket connections
Abstracts multiple connected brokerage and exchange accounts behind a unified MCP interface, automatically routing trade requests to the appropriate account based on asset type, available liquidity, or explicit account selection. Handles account authentication, credential management, and broker-specific protocol translation transparently to the calling LLM agent.
Unique: Provides transparent multi-broker routing through MCP without requiring the agent to manage separate credentials or broker-specific logic, centralizing account management in Trade Agent backend
vs alternatives: Simpler than manually managing multiple broker SDKs because routing is handled server-side, though less control than direct broker API access for optimizing execution across venues
Queries current portfolio state including open positions, cash balances, buying power, and asset holdings across all connected accounts. Returns structured position data with real-time or near-real-time market values, enabling LLM agents to make informed trading decisions based on current portfolio composition and available capital.
Unique: Exposes portfolio state as queryable MCP tools rather than requiring agents to maintain local position tracking, ensuring data consistency with broker records
vs alternatives: More reliable than agent-maintained position state because it queries live broker data, though with slight latency vs local caching
Retrieves historical trade execution data including filled orders, execution prices, fees, and performance metrics. Provides analytics on trade outcomes (win rate, average profit/loss, slippage) enabling LLM agents to evaluate strategy performance and optimize future trading decisions based on historical execution patterns.
Unique: Provides trade analytics as queryable MCP tools, enabling LLM agents to self-evaluate and adjust strategies based on historical performance without external analysis tools
vs alternatives: More integrated than exporting to external analytics tools because agents can query performance metrics directly, though less sophisticated than dedicated backtesting platforms
Validates trade order parameters (symbol, quantity, price, order type) before submission, checking for broker-specific constraints, market hours restrictions, and account-level limits. Returns validation errors with specific guidance on correcting invalid parameters, preventing rejected orders and failed executions.
Unique: Provides pre-submission validation as an MCP tool, enabling agents to catch errors before costly order rejections rather than handling failures reactively
vs alternatives: More proactive than relying on broker error responses because validation happens before submission, reducing failed order attempts and associated latency
Retrieves current market prices, bid/ask spreads, and trading volume for stocks and cryptocurrencies. Provides real-time or near-real-time quotes enabling LLM agents to make price-aware trading decisions and calculate optimal order prices based on current market conditions.
Unique: Integrates market data queries as MCP tools, enabling agents to fetch prices without separate market data API subscriptions or data provider integrations
vs alternatives: Simpler than managing separate market data subscriptions because quotes are included in Trade Agent platform, though potentially higher latency than direct exchange data feeds
+1 more capabilities
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 Trade Agent at 22/100.
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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
+1 more capabilities