pocketbasecloud/mcp

PocketBase 云 MCP 服务器

PocketBase Cloud 的官方模型上下文协议（MCP）服务器：一个托管桥接，让你的 AI 助手在您的 PocketBase Cloud 账户中工作——包括项目、PocketBase 实例、前端和后端、部署与日志、自定义域名，以及每个实例中的集合和记录。

连接页面 · 工具 · 数据与安全· PocketBase云

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PocketBase云托管PocketBase的后端、前端和服务器应用。连接一次你的账户，然后询问你的 简单来说，就是助手;它会选择并执行正确的行动。

通过PocketBase云MCP服务器，您的助理可以：

• 查看正在运行的内容： 项目、PocketBase实例、前端和后端及其状态、近期 部署，以及实例和后端的日志。
• 找出为什么会出问题： 阅读失败部署的构建日志并解释修复方法。
• **启动应用：**在你选择的地区创建项目和PocketBase实例。
• Ship： 添加并验证自定义域名，部署钩子和静态站点，并获得精确的pbc部署命令 你的源代码。

PocketBase Cloud MCP Server

The official Model Context Protocol (MCP) server for PocketBase Cloud: a hosted bridge that lets your AI assistant work in your PocketBase Cloud account — projects, PocketBase instances, frontends and backends, deploys and logs, custom domains, and the collections and records inside each instance.

Connect page · Tools · Data and security · PocketBase Cloud

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PocketBase Cloud hosts PocketBase backends, frontends and server apps. Connect your account once, then ask your assistant in plain words; it picks and runs the right actions.

With the PocketBase Cloud MCP Server, your assistant can:

• See what is running: projects, PocketBase instances, frontends and backends with their status, recent deploys, and the logs of instances and backends.
• Find out why something broke: read a failed deploy’s build log and explain the fix.
• Start an app: create projects and PocketBase instances in the region you choose.
• Ship: add and verify custom domains, deploy hooks and static sites, and get the exact pbc command to deploy your source code.
• Work with data: design collections and API rules, and read, create, update and delete records.
• Harden an instance: review API rules for security gaps, find slow requests, and back up before risky changes.

[!IMPORTANT] You choose the access when you connect: read and write or read only, and all projects or a single one. Options in the server URL can narrow a connection, never widen it. Deleting needs your explicit approval of that exact change.

One-click setup

Pick your AI client below. Each button uses your client’s native install link, so you don’t need to edit any JSON config by hand.