@edgardamasceno-dev
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ldoce-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@edgardamasceno-dev/ldoce-mcp-server",
"--client",
"claude"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
An MCP server built with Node.js and TypeScript that scrapes the Longman Dictionary page for a given word and returns structured JSON data for AI agents. It connects to https://www.ldoceonline.com/dictionary/<word>, extracts introduction, related topics, entries (verb/noun), corpus examples, and origin, then outputs the results through the Model Context Protocol.
Install automatically via Smithery using npx -y @smithery/cli install @edgardamasceno-dev/ldoce-mcp-server --client claude, or manually by cloning the repository. Requires Node.js 16+ and npm. The server exposes a single tool that MCP clients like Claude Desktop can invoke to look up any English word.
It extracts the word introduction, related topics, full entries (verb and noun) with pronunciation, senses, and examples, corpus examples, and the word's origin—all returned as structured JSON.
Node.js version 16 or higher, npm, and Git. The server uses Axios for HTTP requests and Cheerio for HTML parsing.
Two methods: automatic installation via Smithery CLI (`npx -y @smithery/cli install @edgardamasceno-dev/ldoce-mcp-server --client claude`) or manual installation by cloning the GitHub repository.
It follows the Model Context Protocol (MCP) and uses the MCP SDK to expose a tool that MCP client applications can call directly.
The data is scraped live from the Longman Dictionary website at `https://www.ldoceonline.com/dictionary/<word>`. No local dictionary data is stored or bundled.
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