原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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EngrAmo

作者:engramo-developer版本 1.3.3i★ –i电脑或云端
注册名称app.engramo/mcp

安装

概览

作者提供的说明(英文原文)

Create and study EngrAmo spaced-repetition flashcards from your AI client.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 其他
  • 你需要填写:ENGRAMO_API_TOKEN, ENGRAMO_TTS_GEMINI_API_KEYS

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:3 项中通过 3 项
  • 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
  • 需要你自己填写: ENGRAMO_API_TOKEN, ENGRAMO_API_URL, ENGRAMO_TTS_GEMINI_API_KEYS

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.engramo.app/

或者在你的电脑上运行

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

claude mcp add --transport http engramo https://mcp.engramo.app/

或者在你的电脑上运行

claude mcp add engramo --env ENGRAMO_API_TOKEN=your-value --env ENGRAMO_API_URL=your-value --env ENGRAMO_TTS_GEMINI_API_KEYS=your-value -- npx -y @engramo/mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "engramo": {
      "url": "https://mcp.engramo.app/"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "engramo": {
      "command": "npx",
      "args": [
        "-y",
        "@engramo/mcp"
      ],
      "env": {
        "ENGRAMO_API_TOKEN": "your-value",
        "ENGRAMO_API_URL": "your-value",
        "ENGRAMO_TTS_GEMINI_API_KEYS": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "engramo": {
      "type": "http",
      "url": "https://mcp.engramo.app/"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "engramo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@engramo/mcp"
      ],
      "env": {
        "ENGRAMO_API_TOKEN": "your-value",
        "ENGRAMO_API_URL": "your-value",
        "ENGRAMO_TTS_GEMINI_API_KEYS": "your-value"
      }
    }
  }
}

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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.engramo.app/

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。

需要你填写的值

  • ENGRAMO_API_TOKEN 机密 必填 env
    Your EngrAmo API token. From study.engramo.app: person icon (top right) → API token → Generate.
  • ENGRAMO_API_URL env
    Base URL of the EngrAmo API.
  • ENGRAMO_TTS_GEMINI_API_KEYS 机密 env
    Optional. Your own free Gemini API key(s) from aistudio.google.com, comma-separated, to enable card audio generation. Leave unset to turn audio off.

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。

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 engramo.app 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 242 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32558 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32558 个服务器的 94% 更新
  • 基础检查结果等于或优于此分类中其他 32558 个服务器的 100%

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。

常见问题

EngrAmo 安全吗?

它在 3 项适用的基础检查中通过了 3 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。

它需要哪些密钥或代码?

你需要填写:ENGRAMO_API_TOKEN, ENGRAMO_TTS_GEMINI_API_KEYS

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.3.3)于前天进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, FactLot

替代选择

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
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FactLot

作者:9mp96ygnbk-alt

Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.

电脑或云端今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

engramo-mcp

MCP server for EngrAmo, the spaced-repetition flashcard platform.

Hosted server

The hosted server at https://mcp.engramo.app/ needs no installation. It supports OAuth 2.0 with Dynamic Client Registration: your client sends you to the EngrAmo sign-in page, you sign in with your EngrAmo email and password and approve — no API token to paste. There is no sign-up on that page, so create your account in the EngrAmo app first. EngrAmo is listed in the Claude Connectors Directory. Setup guides: Claude and ChatGPT; the public docs are at https://engramo.app/connect/. You can revoke access any time in the EngrAmo app under Settings → Connected apps.

Set up with your AI assistant

Not a developer? An agentic AI app can do the whole setup for you, including card audio. Tested with Antigravity in auto mode; other apps that can run terminal commands and edit files (Claude Code, Codex, Cursor) should work the same way.

Prepare two keys first:

  1. EngrAmo API token: sign in at https://study.engramo.app, open Settings → API Tokens, and create one.
  2. Gemini API key (for card audio, free): create one at Google AI Studio.

Keep both somewhere you can copy them from. Never paste them into the chat; the setup asks for them in a private pop-up instead.

Then paste this prompt into your AI app:

Set up the EngrAmo MCP server for me, with card audio, following

https://github.com/engramo-developer/engramo-mcp. I'm not a developer, so do every step yourself and tell me in plain words what you're doing.

  1. Download the prebuilt engramo-mcp binary for my computer from the latest GitHub release (https://github.com/engramo-developer/engramo-mcp/releases/latest/download/ , where is engramo-mcp-darwin-arm64, engramo-mcp-darwin-x64, engramo-mcp-linux-x64, engramo-mcp-linux-arm64 or engramo-mcp-win32-x64.exe). Save it to ~/.engramo/bin/ and make it executable. Don't install Node.js or npm.
  2. Add an "engramo" server to this app's MCP config file. Keep any servers already there. Use the binary's full path as "command" and set three env values: ENGRAMO_API_URL=https://api.engramo.app, ENGRAMO_API_TOKEN and ENGRAMO_TTS_GEMINI_API_KEYS.
  3. For the two keys, never ask me to paste them into this chat. Ask for each key in my operating system's own pop-up with a hidden input field (macOS: osascript "display dialog ... with hidden answer"; Windows: Get-Credential in powershell.exe; Linux: zenity --password or kdialog --password), and write the value straight into the config file from that same command. Never print, echo or read back the keys. Only if no pop-up is possible, use a hidden terminal prompt instead. Use one method at a time, and don't make me edit the config file.
  4. Tell me how to reload the MCP servers in this app, and wait until I say done.
  5. Check the connection: call get_server_version and list_tts_voices. If something fails, fix it.
  6. When both work, say "Ready! What cards should we make?" with the server version.

To check the setup later (after an update, or if something stops working), paste:

Check my EngrAmo connection: call get_server_version, list_tts_voices and get_subscription_usage.

Tell me in plain words the server version, whether card audio is ready (and the default voice), my plan, and how many cards I can still create. If any call fails, explain why and how to fix it.

When it says ready, ask for cards in your own words, for example:

Create a catalog "Job interview English" with 15 cards of useful interview phrases. Put the phrase on

the front and the meaning plus an example on the back, highlight the key words, and add audio to every card.

More ready-to-paste prompts (cover images, adding audio to a deck, turning notes into cards, study plans and more): docs/prompt-examples.md.

Prerequisites

  • An EngrAmo account
  • An EngrAmo API token — generate one from your account's Settings → API Tokens page. Only needed for the local (stdio) setups below and for remote clients without OAuth; the hosted connectors use OAuth instead.

Environments

engramo-mcp is environment-agnostic — the binary itself has no baked-in "dev" or "prod." Which server it talks to is controlled entirely by the ENGRAMO_API_URL you set in your client config, paired with a token minted from that same environment:

EnvironmentENGRAMO_API_URLMCP server URL (http transport only)Who it's for
Production (default in every example below)https://api.engramo.apphttps://mcp.engramo.appReal accounts — use this unless you have a specific reason not to
Devhttps://api-engram.volmyr.comhttps://mcp-engramo.volmyr.comEngrAmo team / internal testing only

Dev and prod are separate backends with separate accounts. A token minted from one will not authenticate against the other — if you switch ENGRAMO_API_URL, you must also swap in a token generated from that same environment's Settings → API Tokens page.

`ENGRAMO_API_URL` vs the MCP server URL — these are not interchangeable. ENGRAMO_API_URL is the plain EngrAmo backend; it's never something a client connects to directly. In stdio config (Claude Desktop, Claude Code, Codex, VS Code, Cursor, Windsurf, Gemini CLI, Antigravity stdio below), the client sets ENGRAMO_API_URL together with ENGRAMO_API_TOKEN, since the locally-launched binary calls the backend itself. In http/remote config (Antigravity remote, ChatGPT), the client instead points serverUrl at the MCP server's own URL (mcp.engramo.app / mcp-engramo.volmyr.com above) and authenticates separately per session — via OAuth by default, or a static Authorization: Bearer header if you'd rather skip the login prompt. ENGRAMO_API_URL still matters in http mode, but only as an env var set by whoever deploys engramo-mcp http — a client never sets it.

Installation

Install the MCP server globally so it's available as a system command:

npm install -g @engramo/mcp

Prebuilt binaries ship for macOS (arm64, x64), Linux (arm64, x64) and Windows (x64). On other platforms, build from source with cargo build --release.

Verify the installation:

engramo-mcp --version

Alternatively, skip installation entirely and use npx -y @engramo/mcp in your client config — npm will download the binary automatically on first use.

Choosing a client

Any MCP client works. Local text-to-speech needs a stdio (locally launched) connection, so remote-only clients never get it.

ClientModelsLocal TTSSetup
Claude (claude.ai, Desktop, mobile)Claude❌ — hosted connector only; local TTS intentionally unavailableClaude (hosted connector) — recommended: install from the Connectors Directory, nothing to download
Claude Desktop extensionClaude✅Claude Desktop — use it for card audio: one-click extension, no Node.js or config editing; the free plan supports local extensions
Claude CodeClaude✅Claude Code
Codex (CLI / IDE extension)OpenAI models — sign in with your ChatGPT account✅Codex
VS Code (GitHub Copilot)GPT / Claude / Gemini✅VS Code
CursorGPT / Claude / Gemini✅Cursor
WindsurfGPT / Claude / Gemini✅Windsurf
Gemini CLIGemini✅Gemini CLI
AntigravityGemini / Claude / GPT✅ stdio / ❌ remoteAntigravity
ChatGPTOpenAI models❌ — remote connector only (OAuth); local TTS intentionally unavailableChatGPT

Claude Desktop

Most Claude Desktop users should add the hosted connector from the Connectors Directory instead: nothing to download, no token to paste, and it also works on claude.ai and mobile. Use the extension below when you want local card audio, which only a local server can provide.

One-click extension (for card audio)
  1. Download engramo.mcpb from the latest release (macOS on Intel and Apple Silicon, Windows x64, Linux x64 and arm64).
  2. Double-click it (or drag it onto Claude Desktop) and click Install. Claude Desktop shows a red warning that the extension gets access to everything on your computer and that the developer isn't verified by Anthropic. It shows this for every extension installed from a file — the Connectors Directory no longer lists desktop extensions — and it's accurate: the extension runs the engramo-mcp binary with your user permissions.
  3. Paste your EngrAmo API token, and optionally your Gemini API keys (comma-separated) to enable card audio. Claude Desktop stores both in the OS keychain.

No Node.js and no config file. Change the token or keys later under Settings → Extensions → EngrAmo → Configure. The extension doesn't auto-update: install the new engramo.mcpb to upgrade. Its tools are available in Chat conversations, not in Claude Desktop's Code mode. The bundle is built from mcpb/manifest.json by the release workflow. Verify a download with gh attestation verify engramo.mcpb -R engramo-developer/engramo-mcp --signer-workflow engramo-developer/engramo-mcp/.github/workflows/release.yml --source-ref refs/tags/vX.Y.Z (substituting the release tag), or compare it with the release's engramo.mcpb.sha256.

Manual config

Open Settings → Developer → Edit Config, or edit the file directly: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

Using npx (no prior installation needed):

{

"mcpServers": { "engramo": { "command": "npx", "args": ["-y", "@engramo/mcp"], "env": { "ENGRAMO_API_URL": "https://api.engramo.app", "ENGRAMO_API_TOKEN": "your-token", "ENGRAMO_TTS_GEMINI_API_KEYS": "your-gemini-key" } } } }

ENGRAMO_TTS_GEMINI_API_KEYS is optional — it enables list_tts_voices/generate_card_audio using your own Gemini quota; omit the line to disable. See Text-to-speech.

Using a global install (npm install -g @engramo/mcp):

{

"mcpServers": { "engramo": { "command": "engramo-mcp", "env": { "ENGRAMO_API_URL": "https://api.engramo.app", "ENGRAMO_API_TOKEN": "your-token" } } } }

After editing, fully quit Claude Desktop (⌘Q on macOS — closing the window isn't enough) and reopen it. If the server doesn't show up, check the logs at ~/Library/Logs/Claude/mcp-server-engramo.log (macOS) or %APPDATA%\Claude\logs\ (Windows). The Gemini key is never logged.

Claude (hosted connector)

Use the hosted server from claude.ai, Claude Desktop, or Claude mobile — no install, no token:

  1. Open EngrAmo in the Connectors Directory (or Settings → Connectors → Browse and search for EngrAmo).
  2. Connect, sign in with you

只显示了开头部分;其余内容请在仓库中阅读

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