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Building an AI Trading Agent Using Anthropic’s MCP - Part II
- This article is the second part of a tutorial series on building an AI agent using Anthropic's Model Context Protocol (MCP) for foreign currency trading.
- The concept of AI agents with wallets, combining artificial intelligence and blockchain technology, allows for autonomous financial actions.
- AI agents with wallets can operate 24/7, make complex decisions, engage in DeFi activities, and reduce the need for intermediaries.
- Current applications of AI agents with wallets include DeFi automation, portfolio management, NFT trading, DAO governance, and content creation.
- MCP serves as a crucial infrastructure layer for AI agents with wallets, providing seamless interaction with blockchain networks.
- The article outlines the tools needed for setting up MCP server for trading actions like Solana AgentKit and configuring wallet prerequisites.
- Steps for coding the MCP server for trading and configuring the MCP client with Claude Desktop for testing Solana AgentKit are detailed.
- The article demonstrates trading actions using Solana network for stablecoins like USDC and EURC, showcasing simplicity and power of MCP.
- A combo test for an AI forex trading assistant is conducted to analyze macroeconomic news, execute trades, and verify token balances.
- Challenges in MCP usability, such as server integration complexity and lack of streamlined discovery mechanism, are highlighted for improvement.
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