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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Adaptive Cards MCP

作者:VikrantSingh01版本 2.3.0i★ –i在你的电脑上运行
注册名称io.github.VikrantSingh01/adaptive-cards-mcp

安装

概览

作者提供的说明(英文原文)

Generate, validate, and optimize Adaptive Cards for Teams, Outlook, and Copilot.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 聊天与邮件

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:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • 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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "adaptive-cards": {
      "command": "npx",
      "args": [
        "-y",
        "adaptive-cards-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add adaptive-cards -- npx -y adaptive-cards-mcp

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": {
    "adaptive-cards": {
      "command": "npx",
      "args": [
        "-y",
        "adaptive-cards-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。

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": {
    "adaptive-cards": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "adaptive-cards-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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 VikrantSingh01 验证,该账户拥有此仓库

  • … 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“聊天与邮件”中的其他服务器比较i

  • 星标数多于此分类中其他 1868 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1868 个服务器的 4% 更新
  • 基础检查结果等于或优于此分类中其他 1868 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

Adaptive Cards MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 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?

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。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.3.0)于8个月前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Vexa, emailmd, MCP WhatsApp Cloud

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:↓ 每周下载量i★ 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

Vexa

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

作者:Vexa-ai广泛使用★ 29492个月前更新

在云端运行✓ vexa.ai

emailmd

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

作者:anypost广泛使用↓ 5342/周★ 138533天前更新

电脑或云端✓ emailmd.dev

MCP WhatsApp Cloud

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

作者:codespar起步阶段↓ 63/周★ 2775个月前更新

在你的电脑上运行

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。

Adaptive Cards MCP

An MCP server that helps AI assistants generate valid, accessible Adaptive Cards for Teams, Outlook, Copilot, and other Microsoft surfaces. 9 tools, 3 guided workflows, 924 tests.

Blog: I Built an MCP Server That Makes AI 10x Better at Adaptive Cards

Demo

Your browser does not support the video tag.

Quick Start

No install needed — npx downloads and runs it automatically.

1. Add to your AI assistant

Claude Code

claude mcp add adaptive-cards-mcp -- npx adaptive-cards-mcp

GitHub Copilot (VS Code)

Add to .vscode/mcp.json:

{

"servers": { "adaptive-cards-mcp": { "command": "npx", "args": ["adaptive-cards-mcp"] } } }

</details>

Cursor

Add to .cursor/mcp.json:

{

"mcpServers": { "adaptive-cards-mcp": { "command": "npx", "args": ["adaptive-cards-mcp"] } } }

</details>

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{

"mcpServers": { "adaptive-cards-mcp": { "command": "npx", "args": ["adaptive-cards-mcp"] } } }

</details>

Microsoft 365 Copilot / Copilot Studio (HTTP/SSE)

TRANSPORT=sse PORT=3001 npx adaptive-cards-mcp

With auth enabled

TRANSPORT=sse MCP_API_KEY=your-secret npx adaptive-cards-mcp

  1. Open Copilot Studio → your agent → Tools → Add a tool → New tool → Model Context Protocol
  2. Enter your MCP server URL (e.g., https://your-server.azurewebsites.net/sse)
  3. Select the tools to expose

OpenAI ChatGPT

  1. Enable Developer mode in ChatGPT settings
  2. Go to Settings → Connectors → Create
  3. Enter your MCP server HTTPS URL
2. Start using it

Just ask your AI assistant in natural language:

> Create an expense approval card for Teams
> Convert this JSON data into an Adaptive Card table
> Validate this card and fix accessibility issues
> Make this card work on Outlook (v1.4)

The AI picks the right tools, generates a valid card, validates it, and returns production-ready JSON you can paste directly into the Adaptive Cards Designer to preview.

Usage

Natural language (recommended)

Describe what you need — the AI figures out which tools to call:

Approvals and workflows:

> Create an expense approval card for Teams with requester photo, amount,

category, line items, and approve/reject/comment buttons

```

Build a time-off request card — employee name, dates, remaining PTO balance,

manager approval with optional rejection reason

Notifications and alerts:

> Create a CI/CD deployment notification: service name, environment, build number,

commit SHA, deploy status with rollback button

```

Generate a PagerDuty-style incident alert card — severity P1, affected service,

start time, on-call engineer, acknowledge/escalate actions

Data and reports:

> Here's our Q1 sales data, turn it into a card:

[{"region":"APAC","revenue":1250000,"growth":"12%"}, {"region":"EMEA","revenue":980000,"growth":"8%"}, {"region":"Americas","revenue":2100000,"growth":"15%"}]

```

Convert this CSV to a card:

Employee,Department,Start Date,Status Jane Kim,Engineering,2026-01-15,Active Bob Lee,Design,2026-02-01,Active Carol Wu,PM,2026-03-10,Onboarding

Forms and input:

> Create an employee onboarding checklist — new hire name, start date,

assigned buddy, IT setup tasks with checkboxes, and a submit button

```

Build a customer feedback survey card with a 1-5 star rating,

comment field, and NPS score dropdown

Profiles and status:

> Create a team member profile card with photo, name, title, department,

skills tags, and contact buttons for email/chat/calendar

```

Build a service health dashboard card showing 5 microservices

with status indicators (healthy/degraded/down) and last check time

Cross-host and versioning:

> This card works in Teams but breaks in Outlook — fix it

Make this card work on Webex (v1.3 only, no Table, no Action.Execute)

Downgrade this v1.6 card to v1.4 for Viva Connections

Validation and optimization:

> Validate this card and tell me what's wrong — I'm getting render errors

Make this card accessible — it needs to work with screen readers

This card is too complex, optimize it for performance and compact layout

What you sayWhat the AI calls
"Create a leave approval card for Teams"generate_and_validate → optimized card with Approve/Reject actions
"Here's my API response, make it a card"data_to_card → auto-picks Table/FactSet/List based on data shape
"Is this card valid for Outlook?"validate_card → schema errors, accessibility score, host compatibility
"Make this card accessible"optimize_card → adds wrap, altText, speak, heading styles
"Convert this card to a reusable template"template_card → static values become ${expression} bindings
"This card needs to work on v1.3"transform_card → downgrades, removes unsupported features
"What layout should I use for a dashboard?"suggest_layout → pattern recommendation with rationale
Slash commands (MCP prompts)

For guided, multi-step workflows, use the built-in prompts directly:

Create a card:

> /adaptive-cards-mcp:create-adaptive-card

description: "Expense approval with requester photo, line items table, total amount, and approve/reject buttons with comment field" host: teams intent: approval

Runs: generate → validate → optimize → host config

/adaptive-cards-mcp:create-adaptive-card

description: "CI/CD deployment notification with service name, environment, build number, status badge, and rollback action" host: teams intent: notification

/adaptive-cards-mcp:create-adaptive-card

description: "Employee profile card with photo, name, title, department, contact info, and skills tags" host: outlook intent: profile

Convert data to a card:

> /adaptive-cards-mcp:convert-data-to-card

data: [ { "task": "Review PR #482", "assignee": "Jane", "due": "2026-03-21", "status": "pending" }, { "task": "Deploy hotfix v2.1.3", "assignee": "Bob", "due": "2026-03-19", "status": "in-progress" }, { "task": "Update API docs", "assignee": "Carol", "due": "2026-03-22", "status": "done" } ] title: "Sprint Tasks" presentation: table

/adaptive-cards-mcp:convert-data-to-card

data: { "service": "api-gateway", "cpu": "92%", "memory": "78%", "requests": "12.4k/min", "p99_latency": "245ms", "error_rate": "0.3%", "uptime": "99.97%" } title: "Service Health — api-gateway" presentation: facts

Runs: analyze data → pick best layout → validate output

Review an existing card:

> /adaptive-cards-mcp:review-adaptive-card

card: { "type": "AdaptiveCard", "version": "1.6", "body": [...your card...] } host: outlook

Runs: validate schema + accessibility → auto-fix issues → summary report
npm library (programmatic)

For use in your own code (bots, APIs, CI pipelines), install the package:

npm install adaptive-cards-mcp
import { generateCard, validateCardFull, dataToCard, optimizeCard } from 'adaptive-cards-mcp';

const result = await generateCard({ content: "Create a flight status card", host: "teams", intent: "display" });

console.log(result.card); // Adaptive Card JSON console.log(result.cardId); // Reference ID for subsequent calls console.log(result.validation); // Schema + accessibility + host compat

See the Library API reference for full details.

What you get back

Card-producing tools return two clean blocks — card JSON you can copy, and a metadata summary:

```json

{ "type": "AdaptiveCard", "version": "1.6", "body": [ ... ], "actions": [ ... ] }


Validation: Valid Accessibility Score: 100/100 Elements: 7 | Nesting Depth: 2 | Version: 1.6 Card ID: card-abc123 Steps: generate → validate → optimize Try it out: Paste the card JSON into the Adaptive Cards Designer Local Preview: file:///tmp/ac-preview-xyz.html

Tools, Prompt and Usage

Reference

MCP Tools (9)
ToolDescription
generate_cardNatural language / data → valid Adaptive Card v1.6 JSON
validate_cardSchema validation + accessibility score + host compatibility + suggested fixes
data_to_cardAuto-select Table / FactSet / Chart / List from data shape
optimize_cardImprove accessibility, performance, modernize actions
template_cardStatic card → ${expression} data-bound template
transform_cardVersion upgrade/downgrade, host-config adaptation
suggest_layoutRecommend best layout pattern for a description
generate_and_validateGenerate + validate + optionally optimize in one call
card_workflowMulti-step pipeline: generate → optimize → template → transform
MCP Prompts (3)
PromptPipelineSlash command
create-adaptive-cardgenerate → validate → optimize → host config/adaptive-cards-mcp:create-adaptive-card
review-adaptive-cardvalidate → auto-fix → before/after report/adaptive-cards-mcp:review-adaptive-card
convert-data-to-cardanalyze data → pick presentation → validate/adaptive-cards-mcp:convert-data-to-card
MCP Resources (5) + Templates (2)
ResourceDescription
ac://schema/v1.6Complete JSON Schema for Adaptive Cards v1.6

| ac://hosts | Host compatibility matrix for all 7

只显示了开头部分;其余内容请在仓库中阅读

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