About
An MCP server that lets AI agents retrieve real‑time price quotes, generate optimal swap suggestions, and execute Uniswap V3 trades with configurable slippage on Ethereum and other supported chains.
Capabilities
Uniswap Trader MCP is a specialized server that bridges AI assistants with the Uniswap decentralized exchange across multiple blockchains. By exposing price‑quote, swap execution, and trade‑suggestion capabilities through the Model Context Protocol, it enables agents such as Claude to perform sophisticated token swaps without writing any Solidity or SDK code. The server abstracts away the intricacies of Uniswap V3 routing, slippage handling, and gas estimation, allowing developers to focus on higher‑level trading logic or portfolio management.
At its core, the MCP offers three primary tools: getPrice, executeSwap, and swapSuggestions. The price‑quote tool retrieves real‑time rates for a specified trade, automatically selecting the most efficient multi‑hop route and calculating minimum received amounts based on a configurable slippage tolerance. The execution tool takes the same parameters, signs the transaction with a user‑supplied private key, and submits it to the appropriate network via RPC. Finally, swap suggestions analyze liquidity pools, fee tiers, and historical volatility to propose profitable trade paths, making it a powerful aid for automated market‑making strategies.
The server’s multi‑chain support is one of its standout features. It can operate on Ethereum, Optimism, Polygon, Arbitrum, Celo, BNB Chain, Avalanche, and Base, each with its own RPC endpoint, WETH address, and router contract. This breadth allows an AI assistant to seamlessly shift a portfolio across layers or take advantage of lower gas costs on L2 chains, all while maintaining the same prompt syntax. Developers can thus prototype cross‑chain arbitrage or hedging strategies entirely within their AI workflow.
Integration with existing AI pipelines is straightforward. A developer can register the MCP in a Smithery configuration file, then invoke its tools via natural‑language prompts or structured JSON requests. The assistant can embed these calls within larger reasoning steps, such as “evaluate the risk of swapping 10 USDC for ETH on Polygon” or “suggest a trade that maximizes yield across Uniswap and SushiSwap.” Because the MCP returns rich metadata—including route details, gas estimates, and deadline windows—the assistant can present transparent trade information to end users or trigger conditional logic based on thresholds.
In practice, Uniswap Trader MCP is ideal for automated trading bots, portfolio rebalancers, and educational demos. A hedge fund could let an AI assistant scan multiple chains for arbitrage opportunities, automatically execute profitable swaps, and log the outcomes. A DeFi protocol might expose a “swap now” button that internally calls the MCP, ensuring users always receive the best route. Even hobbyists can experiment with token swaps in a sandboxed environment, gaining hands‑on experience without managing wallets or RPC providers manually. Overall, the MCP turns complex on‑chain interactions into simple, declarative commands that fit naturally into AI‑driven development workflows.
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