Coinbase introduces Payments MCP, a protocol that connects AI agents and on‑chain infrastructures, enabling payments through integrated wallets and stablecoin. The protocol exposes the payment function as a “tool” in the agent’s context, with granular permissions and related controls. Use cases: micro‑payments, access to API and content, automations. Issues of security, responsibility, and standard integration like x402 remain on the table.
According to the official announcement from Coinbase, Payments MCP is part of the initiative that includes the x402 standard and the AgentKit extensions. From the review of the official examples and public repositories (e.g., base-mcp), the support for USDC as a reference asset and for EVM networks like Ethereum and Base appears consistent; these materials are updated in 2025 and are useful for testing integration flows in development environments.
Payments MCP is Coinbase’s new solution to enable on‑chain transactions directly from AI agent prompts, without exposing API keys and with integrated wallets capable of signing transfers in USDC. Essentially, a language model can access a wallet, authorize payments, and interact with supported networks – including Ethereum, Base, and other EVMs – within defined limits. In this context, the experience for the LLM approaches that of a true operational “account.”
Coinbase introduces the Payments Model‑Context Protocol to connect agents compatible with MCP tools, on‑ramp, wallets, and payments in stablecoin. The integration, which is part of the evolutionary path started with Agentkit, aims to work with services like ChatGPT or Claude through MCP extensions, showing the agent a native “payment function” in its execution environment. That said, the goal is to reduce friction between the agent’s decision and the final transaction.
Payments MCP is a payment protocol that exposes operations such as “pay” or “transfer” within the context of the agent. The agent can:
The innovation offers a form of controlled financial autonomy for agents, with immediate implications on various use cases:
Looking ahead, this integration could bring LLMs closer to the digital economy, reducing friction in pay‑per‑use payments and paving the way for new pricing models for content and software. It should be noted that efficiency will also depend on the quality of implementations on the provider side.
The protocol exposes a payment interface directly in the agent’s runtime. The LLM invokes the “payment tool” by providing parameters such as amount, asset, recipient, and memo; in response, the wallet signs the transaction and transmits the funds to the chosen network – all in accordance with the permissions approved by the developer or operator. In effect, the call appears as a normal tool invocation, but behind the scenes, it is a full-fledged financial flow.
Agents can use integrated wallets equipped with authorizations for specific scopes (e.g., assets, network, per transaction or daily limits). Identity management can include sign-in via email and the use of OTP for temporary sessions, thus helping to reduce the exposure of keys and credentials. That said, environment isolation remains a key element.
Transactional flows rely on stablecoin to limit the impact of price volatility and simplify accounting. Coinbase has indicated USDC as a reference asset, while support for other stablecoins may vary depending on the network and local compliance. In this context, the use of stable assets also aids in cost predictability.
x402 utilizes the HTTP 402 Payment Required code to integrate a payment step directly into the HTTP request. Essentially, an endpoint can respond with a 402 code, providing the agent with instructions to make the payment (e.g., in USDC); once the payment is completed, the endpoint grants access to the content or API.
Risk management remains central: errors in the budget, prompt injection, and abuses could lead to unwanted transactions. It is therefore essential to define robust security policies and employ test sandboxes. Yet, even with stringent controls, continuous vigilance is required.
Currently, agents compatible with Payments MCP can already make payments within the limits defined by developers or operators. Coinbase has reported, through its blog and technical documentation, that support for LLM and MCP tools is continuously developing in 2025, with test environments and documentation being progressively updated. Looking ahead, the technical roadmap will clarify further implementation details.



