AgentFi — DeFi Tools for AI Agents
MCP ServerFreeGive your AI agent a wallet. AgentFi provides 10 MCP tools for executing DeFi transactions on EVM chains (Ethereum, Base, Arbitrum, Polygon). Swap tokens, transfer assets, supply to Aave, check balances and prices — all policy-constrained and simulated before broadcast. Each agent gets a dedicated S
Capabilities11 decomposed
evm token swap execution with pre-broadcast simulation
Medium confidenceExecutes token swaps across EVM chains (Ethereum, Base, Arbitrum, Polygon) by constructing swap transactions through DEX aggregator integration, simulating execution on-chain via eth_call to validate slippage and gas costs before broadcasting to the network. Uses Safe smart wallet as execution context with MPC key management via Turnkey, ensuring swaps are policy-constrained and reversible until final broadcast.
Combines pre-broadcast eth_call simulation with Safe smart wallet + Turnkey MPC key management, allowing agents to validate DeFi transactions before irreversible execution while maintaining non-custodial security model. Most competitors either skip simulation (fast but risky) or use centralized key storage (simpler but less secure).
Provides simulation-before-broadcast safety that centralized wallet services lack, while maintaining non-custodial security that pure simulation libraries don't offer.
multi-chain asset balance and price querying
Medium confidenceQueries real-time token balances and market prices across EVM chains by calling ERC-20 balanceOf() for on-chain state and integrating with price oracles (Chainlink, Uniswap TWAP, or DEX spot prices) to return current portfolio value. Caches price data with configurable TTL to reduce oracle calls and RPC load, returning structured balance/price tuples for agent decision-making.
Integrates balance queries with multi-source price oracles (Chainlink, Uniswap TWAP, DEX spot) and implements configurable caching to reduce RPC load while maintaining freshness. Most agent frameworks either hardcode a single price source or require manual oracle integration.
Faster than querying Chainlink directly for every balance check due to local caching, while more accurate than DEX spot prices alone by supporting TWAP and multiple oracle sources.
transaction simulation and dry-run execution
Medium confidenceSimulates pending transactions using eth_call RPC method to execute transactions in a read-only mode, returning the expected output (swap amounts, collateral ratios, transfer status, etc.) without modifying blockchain state. Detects transaction failures (reverts, out-of-gas, insufficient balance) before broadcast, and provides detailed error messages to help agents understand why transactions would fail. Integrates with all DeFi operations to provide pre-broadcast validation.
Integrates eth_call simulation into the MCP tool layer before transaction construction, allowing agents to validate transactions without broadcasting — most agent tools either skip simulation or require agents to implement simulation logic themselves
Reduces failed transaction costs vs. broadcast-first approaches, and provides detailed error messages vs. generic RPC errors
aave lending protocol interaction with collateral management
Medium confidenceSupplies ERC-20 tokens to Aave lending pools and manages collateral by calling Aave V3 contract functions (supply, withdraw, borrow, repay) through Safe smart wallet. Validates collateral ratios and liquidation thresholds before execution via simulation, preventing over-leveraged positions. Tracks aToken balances and interest accrual to enable yield farming strategies.
Wraps Aave V3 contract calls with pre-execution collateral ratio validation and liquidation threshold checks via eth_call simulation, preventing agents from entering over-leveraged states. Integrates with Safe smart wallet for non-custodial execution, unlike centralized lending APIs.
Safer than direct Aave contract calls because it validates collateral ratios before execution, while more flexible than Aave's own risk management because agents can define custom thresholds.
policy-constrained transaction execution with approval workflows
Medium confidenceEnforces agent-specific transaction policies (spending limits, token whitelists, counterparty restrictions) by validating each transaction against a policy rule engine before Safe smart wallet execution. Policies are defined as JSON schemas and evaluated server-side; transactions violating policies are rejected before broadcast. Supports approval workflows where high-value transactions require human or oracle confirmation.
Implements server-side policy rule engine that validates transactions against agent-specific schemas before Safe wallet execution, enabling fine-grained spending controls and approval workflows. Most agent frameworks lack built-in policy enforcement; developers must implement custom guards.
More flexible than fixed spending limits because policies can encode complex rules (token whitelists, counterparty restrictions), while faster than human-in-the-loop approval for low-risk transactions due to automatic approval for policy-compliant actions.
safe smart wallet provisioning with mpc key management via turnkey
Medium confidenceProvisions a dedicated Safe smart wallet for each agent by deploying a Safe proxy contract and registering MPC-managed keys via Turnkey's key management service. Turnkey handles key generation, signing, and rotation without exposing private keys to the application layer. Each agent receives a unique wallet address and can execute transactions through Safe's multi-sig interface with MPC-backed signatures.
Integrates Safe smart wallets with Turnkey's MPC key management, eliminating private key exposure while maintaining non-custodial control. Keys are generated and stored in Turnkey's secure enclave; agent never handles raw key material. Most agent frameworks either use EOA wallets (key exposure risk) or centralized custody (non-custodial risk).
More secure than EOA wallets because keys are MPC-managed and never exposed, while more autonomous than multi-sig wallets requiring manual approvals because Turnkey handles signing automatically.
asset transfer with recipient validation and memo support
Medium confidenceTransfers ERC-20 tokens or native chain assets (ETH, MATIC, ARB) from agent wallet to recipient addresses via Safe smart wallet, with optional recipient validation (checking if address is a contract, known exchange, or whitelisted address) and memo/note attachment for transaction tracking. Validates recipient address format and checks for common mistakes (sending to token contract address, zero address).
Wraps ERC-20 and native asset transfers with recipient validation heuristics (contract detection, exchange address checking) and optional memo attachment, reducing common transfer mistakes. Most agent frameworks provide raw transfer functions without validation.
Safer than raw transfer calls because it validates recipient addresses before execution, while more flexible than whitelisted-only transfers because it supports dynamic recipient validation.
mcp tool schema registration and function calling interface
Medium confidenceExposes DeFi capabilities as MCP (Model Context Protocol) tools with JSON schema definitions, allowing LLM agents to discover and invoke DeFi functions through standard MCP function-calling interface. Each tool includes input/output schemas, descriptions, and error handling. Agent can call tools via MCP client library, which handles schema validation, parameter marshalling, and response parsing.
Implements MCP tool schema registration for all DeFi operations, enabling LLM agents to discover and call functions through standard MCP interface rather than hardcoded function names. Schemas include input/output validation and error handling, reducing agent hallucination about function signatures.
More flexible than hardcoded function bindings because schemas enable dynamic tool discovery, while more reliable than natural language function descriptions because schemas enforce strict parameter validation.
transaction simulation and gas estimation with revert reason extraction
Medium confidenceSimulates transactions before broadcast using eth_call to predict execution outcomes, gas consumption, and failure modes. Extracts revert reasons from failed simulations by parsing contract error messages and ABI-decoded error data, providing agents with actionable failure diagnostics. Estimates gas costs based on simulation results and current network gas prices.
Combines eth_call simulation with revert reason extraction via error message parsing and ABI decoding, providing agents with detailed failure diagnostics. Most simulation libraries return only success/failure; AgentFi extracts actionable error messages.
More informative than raw eth_call results because it decodes revert reasons, while faster than full transaction execution because it uses read-only simulation.
multi-chain transaction orchestration with cross-chain state consistency
Medium confidenceOrchestrates transactions across multiple EVM chains (Ethereum, Base, Arbitrum, Polygon) by managing nonce sequences, gas price adjustments, and execution ordering to maintain state consistency. Handles transaction ordering to prevent race conditions (e.g., ensuring token approval completes before swap execution) and provides rollback mechanisms if a transaction fails mid-sequence.
Manages transaction ordering and nonce sequences across multiple EVM chains with built-in rollback mechanisms, preventing race conditions and state inconsistencies. Most agent frameworks treat each chain independently; AgentFi provides coordinated multi-chain execution.
More reliable than sequential chain-by-chain execution because it manages nonce ordering and provides rollback, while faster than manual cross-chain coordination because it automates transaction sequencing.
real-time transaction monitoring and event tracking
Medium confidenceMonitors on-chain transaction status and emits events as transactions progress through mempool, confirmation, and finality states. Tracks transaction receipts, logs, and state changes to provide agents with real-time execution feedback. Integrates with event listeners to trigger agent actions on transaction confirmation or failure (e.g., rebalance portfolio after swap confirms).
Provides real-time transaction monitoring with event emission across mempool, confirmation, and finality states, enabling agents to react to transaction status changes. Most agent frameworks require manual polling; AgentFi provides event-driven monitoring.
More responsive than polling-based transaction tracking because it uses event listeners, while more reliable than mempool monitoring alone because it tracks full transaction lifecycle to finality.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI agents managing treasury or yield strategies
- ✓DeFi protocol developers building autonomous market-making agents
- ✓Teams requiring auditable, policy-constrained token exchanges
- ✓Portfolio monitoring agents that need sub-second balance updates
- ✓Yield farming bots calculating APY and rebalancing triggers
- ✓Risk management systems enforcing position size limits
- ✓Agents executing complex DeFi transactions with multiple dependencies
- ✓Builders implementing agent retry logic with parameter adjustment
Known Limitations
- ⚠Simulation accuracy depends on DEX liquidity state at simulation time; MEV and front-running not modeled in pre-broadcast simulation
- ⚠Slippage constraints are enforced at simulation time only; actual execution may differ if mempool conditions change between simulation and broadcast
- ⚠Limited to EVM chains; no support for Solana, Cosmos, or other VM architectures
- ⚠Price data freshness depends on oracle update frequency; Chainlink feeds update every 1-24 hours depending on asset volatility
- ⚠Spot price queries may not reflect true execution price due to slippage on illiquid pairs
- ⚠Cache TTL creates stale price windows; aggressive caching (< 5 seconds) increases RPC costs
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Input / Output
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Give your AI agent a wallet. AgentFi provides 10 MCP tools for executing DeFi transactions on EVM chains (Ethereum, Base, Arbitrum, Polygon). Swap tokens, transfer assets, supply to Aave, check balances and prices — all policy-constrained and simulated before broadcast. Each agent gets a dedicated Safe smart wallet with MPC key management via Turnkey.
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