Base Launches AI Wallet Protocol for ChatGPT and Claude

Base unveiled Base MCP, a new infrastructure layer that connects crypto wallets directly to AI assistants like ChatGPT and Claude, allowing users to execute blockchain transactions and interact with decentralized finance applications through natural language prompts.

Summary:

Base MCP enables AI assistants to execute wallet actions through plain-language prompts.
Users can send funds, swap tokens, and interact with DeFi protocols directly inside AI chats.
The system introduces human approval layers designed to prevent unauthorized AI-driven transactions.

The launch marks one of the clearest pushes yet toward an “agentic finance” model where AI systems act as programmable interfaces for payments, trading, and onchain financial activity.

Base Pushes AI Deeper Into Crypto Infrastructure

The Model Context Protocol effectively transforms AI chatbots into wallet-connected interfaces capable of interacting directly with the Base blockchain ecosystem.

Instead of navigating traditional wallets and decentralized applications manually, users can instruct AI agents to perform tasks conversationally.

The protocol supports transfers of native assets and ERC-20 tokens, decentralized exchange swaps, liquidity management, perpetual trading, and multi-step smart contract interactions.

Base said the system integrates with major DeFi applications including Uniswap, Morpho, Moonwell, Aerodrome, Avantis, Bankr, and Virtuals.

The launch reflects a broader industry shift toward simplifying blockchain access through AI-native user experiences.

Natural Language Becomes the New Crypto Interface

Base MCP significantly lowers the operational complexity traditionally associated with decentralized finance.

Users can now request actions like swapping tokens, bridging assets, or interacting with lending markets through plain-language commands rather than manually signing multiple smart contract interactions.

The architecture also supports batched transaction flows, allowing AI agents to package several blockchain actions into a single execution process.

Developers increasingly view conversational interfaces as a critical gateway for onboarding mainstream users into onchain financial systems.

Security Remains Central to the Design

Despite introducing AI-driven transaction execution, Base emphasized that the protocol was designed around strict user authorization controls.

The AI assistant itself never receives direct access to private keys.

Instead, proposed transactions are simulated locally before execution, allowing users to review expected asset changes and potential contract interactions in advance.

Every write action – including transfers, swaps, or DeFi executions – still requires manual approval through a separate wallet confirmation window.

The protocol also relies on OAuth 2.1 authentication standards, mirroring security flows commonly used across traditional internet applications.

The layered design aims to reduce risks tied to AI hallucinations, malicious prompts, phishing attempts, or manipulated contract interactions.

Coinbase Expands Vision for AI-Powered Payments

The release ties closely into Coinbase’s broader push toward machine-to-machine financial infrastructure.

Base MCP integrates with x402, Coinbase’s emerging payment standard built specifically for AI agents and automated internet services.

The framework enables autonomous software agents to pay for APIs, services, or digital resources directly using stablecoins like USDC on Base.

Industry participants increasingly describe stablecoins and blockchain rails as foundational infrastructure for the coming “agent economy,” where AI systems transact independently without relying on traditional banking networks.

Base Positions Itself as an AI-Native Financial Layer

The launch further strengthens Base’s positioning beyond a traditional Ethereum Layer 2 network.

Rather than focusing solely on low-cost transactions, Base is increasingly targeting infrastructure for AI-native finance, programmable payments, and autonomous economic coordination.

The move also highlights how competition among blockchain ecosystems is shifting toward developer tooling, automation frameworks, and AI integration rather than simple transaction throughput alone.

For crypto markets, the development reinforces a growing narrative that blockchain networks may ultimately function less as speculative trading venues and more as backend infrastructure powering intelligent financial systems.

The information presented in this article is intended for informational purposes only and should not be interpreted as financial, investment, or trading advice. Coinspress.com does not promote or advocate for any particular investment strategy, asset, or cryptocurrency project. Cryptocurrency markets are highly volatile and unpredictable – always perform your own research and seek guidance from a qualified financial professional before making any investment decisions.

Author

Alexander Stefanov

Reporter at CoinsPress

Alex is Editor-in-Chief of Coinspress and co-founder of Millennial Media Group, with nearly a decade of experience covering financial markets - crypto first, then everything else. It started in 2016 with Bitcoin. Like most people at the time, he didn't fully understand it - so he kept digging. Blockchain, tokenomics, the projects, the cycles. That curiosity never stopped, and eventually pulled him into traditional markets too: equities, commodities, macro. Not because he left crypto behind, but because you can't properly understand one without the other. What drives him is straightforward: he wants to know why something is happening, not just that it's happening. Most market coverage stops at the headline - price up, price down, here's a chart. Alex finds that kind of reporting actively unhelpful. If you walk away from an article without understanding the mechanism behind the move, what did you actually learn? He holds a degree in Tourism from New Bulgarian University - not the most obvious path into financial markets, but markets have a way of pulling in people who are simply too curious to stay out. He has authored over 200 in-depth analyses and more than 10,000 articles across crypto and traditional finance. He still thinks every day in markets teaches him something new. That's probably why he hasn't stopped.