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Base MCP skill enables AI agents to manage wallets and tokens on-chain

Coinbase launched Base MCP, a Model Context Protocol server that connects AI agents like Claude and ChatGPT to Base Account smart wallets, enabling them to execute DeFi transactions through natural language commands. The non-custodial system allows AI agents to check balances, swap tokens, and process payments via the x402 protocol, with every transaction requiring user approval before execution. This integration marks a step toward AI-driven crypto interactions on the Base network, though it introduces security considerations around prompt injection vulnerabilities.

read3 min publishedMay 27, 2026

Coinbase's new Model Context Protocol server lets Claude, ChatGPT, and other AI clients execute DeFi transactions through natural language commands on Base.

Coinbase just gave AI agents their own crypto wallets. Base MCP, a new Model Context Protocol server, connects AI clients directly to Base Account smart wallets, letting them check balances, swap tokens, sign messages, and execute DeFi transactions without users needing to write a single line of custom code.

The system is non-custodial, meaning the MCP server never holds private keys. Every transaction requires user sign-off before it hits the blockchain.

How it works, in plain English #

The Model Context Protocol is an open standard that lets AI models interact with external tools and data sources. In this case, the “tool” is a smart wallet on the Base network. Base MCP bridges that gap, translating natural language prompts into on-chain actions.

Setup involves four steps: connecting to the MCP server, installing the required skill package, authenticating via Base Account OAuth, and testing prompts. Authentication runs on OAuth 2.1, the same security framework that powers login systems across most of the modern web.

Compatible AI clients include Claude, ChatGPT, Cursor, and Codex. Each has quickstart guides available. Once connected, agents can perform a range of operations: sending native tokens, transferring ERC-20 tokens, executing batched contract calls, and processing payments through the x402 protocol using USDC.

The x402 protocol enables micropayments between agent transactions, allowing AI agents to pay for services or data in near-real-time using USDC on Base. Coinbase previously collaborated with Cloudflare on developing this payment standard, and Base MCP is one of its first practical implementations.

Transactions on the platform are gasless or carry sub-penny costs.

DeFi without the dashboard #

Base MCP integrates with major DeFi protocols including Uniswap and Morpho, enabling swaps and lending operations directly through AI prompts.

Instead of navigating to Uniswap, connecting your wallet, selecting token pairs, adjusting slippage, and confirming the transaction, you could tell your AI agent “swap 100 USDC for ETH on Uniswap” and approve the resulting transaction. The agent handles the routing and execution logic.

For developers, the DeFi plugin integrations mean they can build applications that leverage lending and DEX functionality without constructing custom smart contract interfaces from scratch.

The bigger picture: AI meets crypto wallets #

Base MCP fits into a trajectory Coinbase has been building toward. The company previously announced Agentic Wallets, signaling its intent to make AI-driven crypto interactions a core part of the Base ecosystem.

The Model Context Protocol has been gaining traction across the AI industry since 2024, and other crypto companies have taken notice. Phantom, the Solana-focused wallet, has been developing its own MCP initiatives.

The non-custodial design means users maintain control of their assets while delegating execution to an AI layer, with every transaction still requiring explicit approval.

Combining AI decision-making with real financial transactions introduces new attack surfaces. Prompt injection, where malicious inputs trick an AI into executing unintended actions, is a known vulnerability in MCP systems. The user-approval requirement mitigates this significantly, but it also creates friction that could undermine the convenience argument.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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