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A2me MCP Server

作者:Kinnectd版本 1.0.0i★ –i在云端运行
注册名称io.github.Kinnectd/a2me-mcp-server

安装

概览

作者提供的说明(英文原文)

Read-only A2Me family context tools for AI assistants (members, dates, activity, relationships)

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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:

  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.a2me.app/mcp

在终端中运行这条命令

claude mcp add --transport http a2me https://mcp.a2me.app/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": {
    "a2me": {
      "url": "https://mcp.a2me.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。

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": {
    "a2me": {
      "type": "http",
      "url": "https://mcp.a2me.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:

  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.a2me.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。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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 GitHub 账户 Kinnectd 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 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 32583 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32583 个服务器的 14% 更新
  • 基础检查结果等于或优于此分类中其他 32583 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

A2me MCP Server 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。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于4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。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, sync. labs

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
安装

sync. labs

作者:synchronicity-labs

Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.

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。

A2Me MCP Server

v1 · read-only. A Model Context Protocol server that exposes read-only, privacy-redacted family-context tools for the A2Me family social platform — so assistants like Claude, ChatGPT, or KAI can answer "when is mom's birthday?" or help write a message to grandma, scoped to your own family.

Hosted at `https://mcp.a2me.app/mcp` and used in production for A2Me's Connect a2me feature.

Connect from an AI assistant

In Claude or ChatGPT, add a custom connector using the URL:

https://mcp.a2me.app/mcp

You'll be sent through OAuth to sign in to A2Me and grant read-only access; the assistant then has family-aware context scoped to your account.

Run it locally

npm install

npm run dev # stdio transport, mock data by default

It runs on stdio by default (for local MCP clients) and supports a remote HTTP transport (MCP_TRANSPORT=http) for the hosted deployment. By default it uses mock data (A2ME_USE_MOCK=true); set A2ME_API_URL + A2ME_USE_MOCK=false to call a real API. See .env.example.

Available Tools

ToolDescription
get_family_membersReturns the user's family members with relationship labels
get_upcoming_family_datesBirthdays, anniversaries, and events in the next N days
get_recent_family_activityRecent posts, photos, videos, birthday cards
get_person_profileA family member's profile, interests, and activity summary
get_relationship_between_peopleHow two family members are related
get_birthday_card_contextContext for writing a birthday card (memories, interests, tone)
find_family_memberFuzzy search by name or relationship ("mom", "my grandmother")
answer_family_date_questionNatural language date questions ("When is mom's birthday?")
get_message_context_for_personContext for writing a message with suggestions
get_upcoming_eventsUpcoming events with the user's RSVP status and RSVP counts
get_trip_overviewA trip's dates, roster, travel details (flights/lodging), itinerary
get_life_storyA family member's life story chapters (or recent story answers)
get_unanswered_story_questionsUnanswered story questions — interview prep for a visit
get_person_wishlistA family member's wishlist for gift ideas
search_family_memoriesKeyword search over recent family posts and memories
whats_newCatch-up bundle: recent posts + what's coming up

Prompts

The server also exposes prompts — one-click starting points that appear as connector commands in Claude (and suggestions in ChatGPT), so users get value without knowing tool names. Each steers the assistant to the read-only tools above:

PromptWhat it does
write_birthday_cardDraft a birthday card grounded in a person's context
write_family_messageDraft a message for any occasion/tone
family_catch_upSummarize what's new with the family
upcoming_family_datesList upcoming birthdays/anniversaries with suggestions
about_personWarm summary of a family member and how you're related

The person argument on these prompts autocompletes from your family roster (names + relationship labels) as you type — MCP argument completion, scoped to your family. See src/prompts/index.ts and src/completions.ts.

Example Scenarios

  1. "Help me write a birthday card for my sister"
  • find_family_member → resolves "my sister" to Sarah Walker
  • get_birthday_card_context → returns interests (painting, hiking, coffee), tone suggestions
  1. "When is grandma's birthday?"
  • answer_family_date_question → returns Margaret Walker's birthday (November 8)
  1. "What's been happening in the family?"
  • get_recent_family_activity → returns recent posts, photos, events
  1. "Help me write a thank you message to my dad"
  • get_message_context_for_person → returns Robert Walker's context, interests, suggestions
  1. "Who's in my family?"
  • get_family_members → returns all family members with relationships
  1. "What events are coming up?"
  • get_upcoming_family_dates → returns upcoming birthdays, anniversaries, events

Architecture

┌─────────────────────────────────────────────────────────┐

│ MCP Client (LLM) │ │ (Claude, ChatGPT, KAI, etc.) │ └───────────────────────┬─────────────────────────────────┘ │ stdio (MCP Protocol) ┌───────────────────────▼─────────────────────────────────┐ │ A2Me MCP Server │ │ ┌─────────────────────────────────────────────────┐ │ │ │ Tool Registry (16 tools) │ │ │ └──────────────────────┬──────────────────────────┘ │ │ │ │ │ ┌──────────────────────▼──────────────────────────┐ │ │ │ Family Context Resolver │ │ │ │ (fuzzy matching, relationship resolution) │ │ │ └──────────────────────┬──────────────────────────┘ │ │ │ │ │ ┌──────────────────────▼──────────────────────────┐ │ │ │ A2Me API Client │ │ │ │ (currently mock, future: real HTTP calls) │ │ │ └──────────────────────┬──────────────────────────┘ │ │ │ │ │ ┌──────────────────────▼──────────────────────────┐ │ │ │ Auth Context │ │ │ │ (currently mock, future: OAuth/Firebase) │ │ │ └─────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────┘ │ (future) ┌───────────────────────▼─────────────────────────────────┐ │ A2Me REST API │ │ (kinnectd-api service) │ └─────────────────────────────────────────────────────────┘

Authentication

Currently uses mock authentication — always returns an authenticated user ("Alex Walker") for local development.

Future production integration:

  • OAuth2/Firebase token validation via A2Me API
  • Token passed via MCP session context or environment
  • Per-user data isolation (users only see their own family)

Required A2Me API Endpoints (Future)

MethodEndpointDescription
GET/family/membersList user's family members
GET/family/dates/upcomingUpcoming dates with filters
GET/family/activity/recentRecent family activity feed
GET/people/{personId}/contextPerson profile with safe context
GET/relationships/pathRelationship path between two people
GET/birthday-cards/context/{personId}Birthday card writing context

ChatGPT app widgets

For ChatGPT (Apps SDK), four tools render an interactive inline widget instead of plain JSON:

  • get_upcoming_family_dates → an Upcoming family dates card
  • get_family_members → a Your family roster
  • get_person_profile → a Family member profile card
  • get_recent_family_activity → a Recent family activity feed

Each widget is a small React bundle in widgets/src/ built by npm run build:widgets into dist-widgets/ .js|.css. The server serves those as static assets (/widgets/...) and exposes each as a ui://widget/ .html resource (MIME text/html+skybridge); the paired tool carries _meta["openai/outputTemplate"] pointing at it. The widget reads the tool's structuredContent from window.openai.toolOutput and renders it. Other MCP clients (Claude, KAI) ignore the widgets and use the same tools' text output. See src/widgets/registry.ts.

Development

npm run dev            # Run the server with tsx (hot reload)

npm run build # Compile server (tsc) + build widget bundles npm run build:server # Server only npm run build:widgets # Widget bundles only (-> dist-widgets/) npm run test # Run tests (incl. widget render tests) npm run test:watch # Watch mode npm run lint # ESLint npm run format # Prettier npm run check # Type check only

Privacy Design

This server is designed to be privacy-first:

  • No email addresses, phone numbers, or physical addresses are ever returned
  • Birthdays are shown as month-day only (no birth year)
  • No financial or health information
  • All data scoped to the authenticated user's family only
  • Managed accounts (children) have additional protections

Privacy Policy

Privacy policy: https://a2me.app/privacy

This connector accesses A2Me data on behalf of the authenticated user, over an OAuth 2.0 "Connect A2Me" flow, and is bound by the A2Me privacy policy above.

  • What we collect / access: read-only family-context data for the authenticated user's own family — member names, relationship labels, month–day of birthdays and events, and recent activity summaries. We never return email addresses, phone numbers, physical addresses, birth years, or financial/health data.
  • How it's used: returned to the connected AI assistant solely to answer the user's request in-session. The connector does not train models on this data and performs no writes back to A2Me.
  • Storage & retention: the connector holds no family data at rest. For transparency and abuse prevention we log access metadata (timestamp, tool name, calling assistant, scopes) in an append-only audit log; users can review this under Settings → Connected apps in A2Me.
  • Third-party sharing: OAuth tokens are issued and validated via our auth provider (Scalekit); no family data is shared with third parties beyond the AI assistant the user explicitly connected.
  • Contact: privacy@a2me.app · security disclosures per SECURITY.md.

Tech Stack

  • Runtime: Node.js 20+
  • Language: TypeScript (strict mode)
  • MCP SDK: @modelcontextprotocol/sdk
  • Validation: Zod
  • Testing: Vitest
  • Transport: Streamable HTTP (remote/production) and stdio (local dev)

License

Private — Kinnectd / A2Me

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