Meta now lets AI agents handle the boring parts of WhatsApp Business setup

Meta 现在允许 AI 智能体处理 WhatsApp Business 设置中的繁琐工作

Alongside news of its new AI-focused subscription plans, Meta announced on Tuesday that it will now allow AI agents of your choosing to set up and manage WhatsApp Business messaging, the service that allows companies to connect with customers through WhatsApp conversations.

在宣布其以 AI 为核心的新订阅计划的同时，Meta 周二宣布，现在允许用户选择 AI 智能体来设置和管理 WhatsApp Business 消息服务，该服务旨在帮助企业通过 WhatsApp 对话与客户建立联系。

As Meta explains, this process was previously a bit more cumbersome, as it required developers to move between different tools and services, including the Developer Console, Meta’s Business Manager, the API reference, and their editor. Now, they can instead ask their preferred AI agent to set up WhatsApp Business messaging by chatting with it and describing what needs to be done.

正如 Meta 所解释的那样，这一过程此前较为繁琐，开发人员需要在不同的工具和服务之间来回切换，包括开发者控制台（Developer Console）、Meta 商务管理平台（Business Manager）、API 参考文档以及代码编辑器。现在，他们只需与自己偏好的 AI 智能体聊天并描述需求，即可让其完成 WhatsApp Business 消息服务的设置。

This is made possible by the new WhatsApp Business Tools MCP, an MCP (Model Context Protocol) server that directly connects an AI coding agent like Claude, Cursor, Codex, or ChatGPT to the WhatsApp Business Platform. The move sees Meta expanding its existing lineup of MCP servers beyond those for managing ads and monitoring app configurations, and other social technologies to one specifically designed to help onboard businesses to WhatsApp.

这一功能的实现得益于全新的 WhatsApp Business Tools MCP。这是一个 MCP（模型上下文协议）服务器，能够将 Claude、Cursor、Codex 或 ChatGPT 等 AI 编程智能体直接连接到 WhatsApp Business 平台。此举标志着 Meta 扩展了其现有的 MCP 服务器阵容，除了用于管理广告、监控应用配置及其他社交技术的服务器外，又新增了一个专门用于帮助企业接入 WhatsApp 的服务器。

Many other tech companies also offer MCP servers that allow AI agents to securely interact with their services, including PayPal, Stripe, GitHub, Notion, Slack, Salesforce, Atlassian, X, Google, Microsoft, and others.

许多其他科技公司也提供了 MCP 服务器，允许 AI 智能体与其服务进行安全交互，包括 PayPal、Stripe、GitHub、Notion、Slack、Salesforce、Atlassian、X、Google、Microsoft 等。

In Meta’s case, the AI agent will handle much of the busywork involved in the WhatsApp Business setup process, like creating the company’s WhatsApp Business account, adding and verifying its phone number, registering it for access to the Cloud API, checking the business’ Terms of Service, and more.

在 Meta 的案例中，AI 智能体将处理 WhatsApp Business 设置过程中大部分繁琐的工作，例如创建公司的 WhatsApp Business 账户、添加并验证电话号码、注册以获取云 API 访问权限、检查企业服务条款等。

Businesses will also be able to use the AI agent for other tasks, like describing a messaging template they want the AI to create or having the agent edit an existing template. Plus, they can test messages and webhooks and monitor things that may previously have quietly failed, like the Terms of Service, payment method, and Business Verification.

企业还可以利用 AI 智能体完成其他任务，例如描述想要创建的消息模板，或让智能体编辑现有模板。此外，他们还可以测试消息和 Webhook，并监控此前可能在后台静默失败的项目，如服务条款、支付方式和企业验证状态。

During setup and configuration, Meta’s other MCP server, Meta Social Technologies MCP, can also be used to discover API endpoints, search documentation, and help troubleshoot errors, the company noted.

Meta 指出，在设置和配置过程中，还可以使用其另一个 MCP 服务器——Meta Social Technologies MCP，来发现 API 端点、搜索文档并协助排查错误。