Aave Community Considers Higher USDe Borrowing Costs
LlamaRisk, a risk analysis firm, has proposed increasing borrowing costs for USDe across five Aave V3 markets. The recommendation, issued on September 9, targets the Core, Plasma, Monad, Mantle, and Avalanche deployments. If approved, the base variable borrow rate would rise from 5% to 6%, while the Slope1 parameter would be reduced by one percentage point in each market. The changes aim to tighten costs for users who borrow USDe and recycle it into yield-bearing sUSDe.
The affected markets currently hold approximately $323.8 million in USDe debt against $1.18 billion supplied. Modeled borrower APRs would increase by 13 to 89 basis points depending on utilization. Avalanche, with the highest utilization, would see the smallest modeled increase at 13 basis points, while Mantle, with the lowest utilization, would absorb nearly the full base rate hike.
Aave Labs Launches Official AI Server for Protocol Data
Separately, Aave Labs has launched an official AI server that supports the Model Context Protocol (MCP), accessible at mcp.aave.com. The server provides AI assistants with live protocol data and transaction preparation capabilities for both Aave V3 and V4 through a single connection. It uses the same calculations as Aave’s official interfaces, including Hub and Spoke accounting and Risk Premium.
Read tools cover chains, markets, reserves, rates, caps, risk parameters, and historical APY data. They also return protocol deposits, borrows, wallet health factors, rewards, transaction history, and V4 position-level health information. Most tools accept a version setting of v3, v4, or all for comparison.
User Control Remains Paramount
The AI server can prepare supply, borrow, withdraw, repay, collateral, eMode, reward-claim, and liquidation transactions. It can also simulate an action and show the resulting health factor before preparing anything. However, every prepared transaction is returned unsigned. The server holds no private keys and cannot move user funds. Users must approve and sign transaction requests or EIP-712 typed data through their own wallets.
Aave described a liquidation-protection use case where an agent monitors a position’s health factor. If it falls below 1.5, the agent prepares a USDC repayment and waits for user signature before any transaction proceeds. The server also trims responses to reduce unnecessary fields, cutting reserve detail from about 17 KB to about 1 KB.
Conclusion
LlamaRisk’s proposal would raise USDe borrowing costs across five Aave V3 markets while adjusting Slope1 to soften the increase at higher utilization. Separately, Aave’s AI server gives assistants live protocol data and transaction-building tools while keeping every final approval and wallet signature with the user.
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