Trade Agent
MCP ServerFree** - Execute stock and crypto trades via [Trade Agent](https://thetradeagent.ai/)
Capabilities9 decomposed
mcp-based stock trade execution
Medium confidenceExecutes 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.
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
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
mcp-based cryptocurrency trade execution
Medium confidenceExecutes 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.
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
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
trade order status monitoring and callbacks
Medium confidenceMonitors 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.
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
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
multi-broker account abstraction and routing
Medium confidenceAbstracts 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.
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
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
portfolio position and balance querying
Medium confidenceQueries 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.
Exposes portfolio state as queryable MCP tools rather than requiring agents to maintain local position tracking, ensuring data consistency with broker records
More reliable than agent-maintained position state because it queries live broker data, though with slight latency vs local caching
trade history and execution analytics
Medium confidenceRetrieves 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.
Provides trade analytics as queryable MCP tools, enabling LLM agents to self-evaluate and adjust strategies based on historical performance without external analysis tools
More integrated than exporting to external analytics tools because agents can query performance metrics directly, though less sophisticated than dedicated backtesting platforms
order type and parameter validation
Medium confidenceValidates 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.
Provides pre-submission validation as an MCP tool, enabling agents to catch errors before costly order rejections rather than handling failures reactively
More proactive than relying on broker error responses because validation happens before submission, reducing failed order attempts and associated latency
market data and price quote retrieval
Medium confidenceRetrieves 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.
Integrates market data queries as MCP tools, enabling agents to fetch prices without separate market data API subscriptions or data provider integrations
Simpler than managing separate market data subscriptions because quotes are included in Trade Agent platform, though potentially higher latency than direct exchange data feeds
risk management and position limit enforcement
Medium confidenceEnforces configurable position limits, maximum loss thresholds, and portfolio-level risk constraints at the Trade Agent backend level. Prevents orders that would violate risk parameters, automatically rejecting or modifying orders to stay within defined risk boundaries without requiring agent-side enforcement logic.
Enforces risk limits at the backend level rather than relying on agent-side logic, preventing circumvention and ensuring consistent risk policy enforcement across all trading channels
More reliable than agent-implemented risk checks because enforcement is server-side and cannot be bypassed, though less flexible than custom risk logic
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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@coinbase/cds-mcp-server
Coinbase Design System - MCP Server
Best For
- ✓AI agent developers building autonomous trading systems
- ✓FinTech teams integrating LLM-driven trading into existing platforms
- ✓Quant developers prototyping algorithmic trading agents with language models
- ✓Crypto-native developers building AI trading bots
- ✓DeFi protocol teams integrating LLM-driven trading strategies
- ✓Developers building multi-asset portfolio management agents
- ✓Developers building reactive trading agents that adapt to execution outcomes
- ✓Teams implementing multi-leg trading strategies requiring order sequencing
Known Limitations
- ⚠Requires active Trade Agent account with broker authentication — no paper trading mode documented
- ⚠MCP protocol adds latency overhead compared to direct broker API calls; order execution speed depends on Trade Agent backend responsiveness
- ⚠No built-in order validation or risk management guardrails — relies on calling application to implement position limits and loss prevention
- ⚠Limited to brokers supported by Trade Agent platform; cannot directly integrate with arbitrary broker APIs
- ⚠Crypto exchange support limited to exchanges integrated with Trade Agent platform
- ⚠No direct smart contract interaction — trades execute on centralized exchanges only, not on-chain DEXs
Requirements
Input / Output
UnfragileRank
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** - Execute stock and crypto trades via [Trade Agent](https://thetradeagent.ai/)
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