Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Build and enrich your Lingard vocabulary: topic collections, flashcards, translations, examples.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://lingard.app/mcp在终端中运行这条命令
claude mcp add --transport http vocab https://lingard.app/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"vocab": {
"url": "https://lingard.app/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"vocab": {
"type": "http",
"url": "https://lingard.app/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://lingard.app/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
searchSearches the user's live Lingard account: vocabulary, learning context, English profile, totals, collection titles, saved words, flashcards, and missing vocabulary fields. Results are read from Firestore at the time of the call.
fetchFetches the full live Lingard JSON record for a search-result id (e.g. "learning-context:en") or a Lingard resource URI such as lingard://learning-context/en.
lingard_get_learning_contextReturns the user's current Lingard learning context, read live from their account: English profile, vocabulary totals, saved collections and their titles, card counts, and missing-field stats. Earlier answers in the conversation may be out of date; this is the account as it stand
lingard_get_vocab_collectionReturns live cards from one Lingard vocabulary collection by UUID or title, including curated Lingard collections and the "Words not in a collection" bucket of cards saved while reading. With includeExamples:true it also returns each card's example sentences and their translation
lingard_get_collection_gapsReturns live Lingard cards in a collection that are missing requested fields such as translation, POS, pronunciation, examples, or image. A curated Lingard collection always reports zero gaps: its words come from the Lingard catalog and are not the user's to fill.
lingard_get_word_suggestion_contextReturns live Lingard profile level, topic, collection context, and the words the user already has: the context for suggesting level-appropriate new cards that are not duplicates.
lingard_preview_vocab_changesPreviews a Lingard vocabulary collection/card change without writing to Firestore. Cards are checked as on commit. Unless allowIncompleteCards is true, a new card needs title, translate, pos, pron/ipa, syns, and examples with translations; image is optional. A German or Romance n
lingard_commit_vocab_changesCommits a previously previewed or freshly supplied Lingard vocabulary change. Unless allowIncompleteCards is true, a new card needs title, translate, pos, pron/ipa, syns, and examples with translations; image is optional. A German or Romance noun title carries its dictionary arti
lingard_create_vocab_collectionCreates a Lingard vocabulary collection, optionally with initial cards; commit=true writes it. Unless allowIncompleteCards is true, a new card needs title, translate, pos, pron/ipa, syns, and examples with translations; image is optional. A German or Romance noun title carries it
lingard_add_words_to_collectionAdds cards to an existing Lingard collection, deduplicating by normalized word title; commit=true writes them. Only collections with writable="full" accept new cards: curated Lingard collections are read-only and the unfiled bucket takes no new cards. Unless allowIncompleteCards
lingard_fill_missing_card_fieldsFills empty fields on existing Lingard cards. It never overwrites or clears a field that already has a value. Works on the user's own collections and on the "Words not in a collection" bucket; curated Lingard collections are read-only because their content comes from the Lingard
lingard_update_example_translationsRewrites only the translation line of examples that already exist on Lingard cards; the example sentence, its {} highlights and its audio/typing markers are left exactly as they are. It changes, adds, or removes example translations; an empty translation is a supported card state
lingard_attach_card_imagesAttaches supplied images to existing Lingard cards. It does not generate images: each entry carries the image itself as imageBase64 or dataUri, or an imageUrl that the server downloads. PNG, JPEG, WebP, and SVG inputs are converted to WebP and uploaded as private custom card imag
lingard_get_learning_pausesLists, for one language, the user's collections and sources (books, the news) and which of them are on pause. A collection or source on pause gives the automatic «Now learning» sessions no words — no new words and no reviews — and is not counted in the day's goals or reminders; o
lingard_set_learning_pausesPuts collections and sources on pause or takes them off it, for one language — e.g. "study only my Travel collection this week", "pause the news words", "resume everything". action: "pause" or "resume" the listed ones; "only" — resume the listed ones and pause every other collect
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册中心没有列出源代码仓库,因此无法将发布者(lingard.app)与代码对应起来
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 240 毫秒内响应(HTTP 200)
无需登录
已读取 15 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.5.8)于8天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Winecellarbuilders
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Find the team for your wine room.
仓库中没有找到 README