What is the purpose of cloudflare-api-mcp?
It allows AI agents (like Cursor) to call Cloudflare REST API endpoints through the Model Control Protocol, enabling automated infrastructure management.
@zueai-mcp
基本信息
Lightweight MCP server to give your Cursor Agent access to the Cloudflare API.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"cloudflare-api-mcp-zueai-mcp": {
"command": "bun",
"args": [
"create",
"mcp",
"--clone",
"https://github.com/zueai/cloudflare-api-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A lightweight Model Control Protocol (MCP) server bootstrapped with create-mcp and deployed on Cloudflare Workers. It enables AI agents (such as Cursor) to interface with the Cloudflare REST API.
Run the automated install script (bun create mcp --clone https://github.com/zueai/cloudflare-api-mcp), configure in Cursor Settings → MCP, and upload your Cloudflare API key and email as worker secrets using bunx wrangler secret put. For local development, add credentials to a .dev.vars file.
It allows AI agents (like Cursor) to call Cloudflare REST API endpoints through the Model Control Protocol, enabling automated infrastructure management.
Clone the repository using `bun create mcp --clone https://github.com/zueai/cloudflare-api-mcp`, then add the server to Cursor settings and deploy with your Cloudflare API key and email as worker secrets.
Every method in the `MyWorker` class in `src/index.ts` becomes an MCP tool. The README provides an example for `createDNSRecord`; the current full list is in the source code.
Add a method to the `MyWorker` class with JSDoc comments (first line as description, `@param` tags for parameters, `@return` for return type). The method is automatically exposed as an MCP tool.
Yes, it runs on Cloudflare Workers and requires Bun for local development. You need a Cloudflare API key and email, set as worker secrets (`CLOUDFLARE_API_KEY` and `CLOUDFLARE_API_EMAIL`).

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