Developer guide: Build a DeFi pair-trading AI agent using MCP and Pear Protocol

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A tutorial published on DEV Community outlines how to build an AI trading agent using the Model Context Protocol (MCP) and Pear Protocol, a Hyperliquid-backed platform for pair trading. The agent can browse live markets, read portfolio data, and execute leveraged pair trades — going long one asset and short another simultaneously — without directional market exposure. Developers use an open-source MCP server called mcp-pear, which wraps Pear Protocol's API and exposes tools to any MCP-compatible client such as Claude Desktop or Cursor. Trade execution is disabled by default and must be explicitly enabled via an environment variable, while authentication is handled through a wallet-signed API key rather than private keys. The guide also flags two Hyperliquid-specific limitations: a minimum order size of roughly $10 and the need to move USDC from a Spot balance to a Perps balance before placing trades.

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