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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MCP Context Card

作者:Wolfe-Jam版本 1.8.0i★ –i在你的电脑上运行
注册名称io.github.Wolfe-Jam/mcp-context-card

安装

概览

作者提供的说明(英文原文)

MCP server for a project's context (AGENTS.md), memory, and identity — base or drop-in extension.

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: 搜索与 AI 记忆

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)。
  • 需要你自己填写: MCP_CONTEXT_CARD_ROOT

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": {
    "context-card": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-context-card"
      ],
      "env": {
        "MCP_CONTEXT_CARD_ROOT": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add context-card --env MCP_CONTEXT_CARD_ROOT=your-value -- npx -y mcp-context-card

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": {
    "context-card": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-context-card"
      ],
      "env": {
        "MCP_CONTEXT_CARD_ROOT": "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": {
    "context-card": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-context-card"
      ],
      "env": {
        "MCP_CONTEXT_CARD_ROOT": "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。

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。

需要你填写的值

  • MCP_CONTEXT_CARD_ROOT env
    Pins the project: a directory with AGENTS.md, project.fafm and .well-known/fafa. Unset: the host's MCP roots, then the start directory if it has an AGENTS.md.

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Wolfe-Jam 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“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7264 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7264 个服务器的 99% 更新
  • 基础检查结果等于或优于此分类中其他 7264 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

MCP Context Card 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(1.8.0)于今天进入注册中心。

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。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:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

mcp-context-card

Get one. Or add it to yours. The essential MCP server for a project's context, memory, and identity — discoverable to any MCP client, and rendered as one card you can read.

LightDark

See your own project's business card — run this in its folder. It writes context-card.html and opens it in your browser. The front is the card: name, title, one-liner. Flip it for the back: About, Context, Memory, Discovery.

npx mcp-context-card card

context — the project's AGENTS.md, served whole or one section at a time.

memory — facts that persist across sessions, in a file.

identity — what this server is, from its own .fafa (agent.fafa, else .well-known/fafa).

Discovery goes through two surfaces already in the ecosystem: the Server Card _meta block and ai-catalog.json sibling entries.

Pick one

You want to…
Add an `AGENTS.md` — you don't have oneauthor_agents_md drafts one from your repo's real facts
Improve an `AGENTS.md` — you have one, make it the best it can bethe same tool, automatically — drop in a project.faf and it upgrades to BEST: goal, who it's for, why
Get a new MCP server base — context, memory, identity, wiredstand this up as-is; a host has all three before you write a tool of your own
Improve your MCP with context, memory, ID — you already run onerun it alongside your existing server; nothing to migrate, it composes

A base MCP — or an extension for any other

Context, memory, and identity are essential — every MCP host needs an agent that knows a project's instructions, remembers facts across sessions, and can say what it is. mcp-context-card is those three, done once:

  • Stand it up as your base MCP. Point a host at it and an agent already has AGENTS.md served section‑by‑section, remember / recall / forget memory that survives a restart, and a whoami identity — before a single tool of your own is written.
  • Or extend any existing MCP with it. Run it alongside a server you already have — filesystem, git, a database, your own — and that agent gains context, memory, and identity discovery it didn't have. Nothing to migrate; it composes.

Ten tools, two discovery surfaces already in the ecosystem (Server Card _meta, ai-catalog.json), and a rendered card. MIT, on npm.

It composes:

  • serve · discover · render — this server
  • author BETTER, keep true — agents-md-facts (author_agents_md wraps it for the facts layer; adds a BEST layer of its own from project.faf when one exists)
  • files · shell · git — server-filesystem, server-git / github‑mcp‑server, your test runner's MCP

Vendor-free — context is plain Markdown (AGENTS.md); the memory and identity formats are swappable examples. It reads and writes only its own three files (AGENTS.md, project.fafm, and agent.fafa or .well-known/fafa), plus the context-card.html it saves on request — no general file access, no shell, no search.

The card

The screenshot at the top of this page is exactly this: the same sources rendered as a business card in one self‑contained HTML page. The view for people: read it, screenshot it, drop it in a PR, put it on a status page.

  • Front: the name, a title (what it is and its version: "MCP server", "A2A agent", from where the project's .fafa says it runs) and a one-liner (the start of its description).
  • Back (Flip): tabs for About (the identity in full), Skills (when the .fafa lists capabilities), Context (AGENTS.md), Memory and Discovery. Long content scrolls inside the card.
  • Landscape or portrait: the ▭ ▯ button switches the view; --portrait / ?layout=portrait sets it.
  • Light or dark card: the card's colour is its own, like a printed card. --theme / ?theme= sets it (default: follow your OS), and ◐ switches it. The page around it always follows your OS.

Flip, tabs and the view switch are plain CSS, so they work with scripts off. The one small inline script adds Expand all, opens a #section link on the back, and opens every section for printing. Hosts that support MCP Apps read ui://mcp-context-card/card.html: this same page, plus a hidden inline view and the helper bundled in (scripts/bundle-card-app.mjs), so the host can fit its frame. Nothing is loaded from the network. The saved context-card.html, GET /card, and the CLI are the plain page, without that helper and without the inline view.

In a host, the inline view is a mini card for the panel: monogram, name, kind · version, one line, and a strip of counts (sections · facts · identity), with one action, "Open full card". It shows when the host's display mode is inline (or picture-in-picture). Fullscreen, and any page with no host, is the full card. "Open full card" asks the host for fullscreen; a host that stays smaller points to save_context_card, which writes the full card to context-card.html. --expanded / ?expand=all renders both faces flat, every section open, for a screenshot or print.

npx mcp-context-card card            # at a terminal: writes context-card.html and opens it

npx mcp-context-card card --portrait # the tall view npx mcp-context-card card --expanded # both faces flat, every section open npx mcp-context-card card > x.html # piped/redirected: raw HTML to stdout GET /card # live, on the HTTP transport GET /card?layout=portrait&theme=light&accent=%230066cc

In a chat, hosts that support MCP Apps show the card inline when render_context_card runs; the model gets a short summary instead of the page. Everywhere else, save_context_card writes context-card.html into the project, opens it in your browser when the server runs locally, and replies with the card as Markdown (identity, the AGENTS.md sections, memory, discovery), a link to the full card, and its address to copy. The Markdown is a tl;dr by default: five facts, each cut to its first sentence as stored, so it stays small however much a project remembers. detail: "full" lists every fact whole. The server's instructions tell the model to show that rather than paste the HTML into the chat.

Light, dark, or auto. The colour is the owner's: set it in the project's .fafa (metadata.cards.accent: "#0066cc"), or pass any hex with --accent or ?accent. With none, the card is drawn in ink, black or white; no colour is guessed. This repo's own card, live: auto · light · dark (in the AAIF orange its .fafa declares).

Add it to your setup

No AGENTS.md yet?

The author_agents_md tool authors one — BETTER from your repo's real facts (build/test commands, entry points, toolchain conventions, via agents-md-facts), or BEST when a project.faf exists: the same facts, plus its structured goal, who it's for, and why, as a section ahead of them. Nothing to configure — the tier follows what's actually there. (The ladder this follows.)

To author or keep the facts layer true outside a session:

npx agents-md-facts          # author / refresh AGENTS.md

npx agents-md-facts --check # fail if missing or stale (CI, pre-commit)

See the card

One command, no host, no config — from your project directory:

npx mcp-context-card card

At a terminal it writes context-card.html and opens it in your browser. Piped or redirected (> card.html, a script, CI) it writes raw HTML to stdout instead; --stdout forces that from a terminal too. --expanded opens every section.

Wire it into a host

goose, Claude Desktop, Cursor, or any stdio host:

{

"mcpServers": { "context-card": { "command": "npx", "args": ["-y", "mcp-context-card"] } } }

No path to configure: the server asks the host which project you're in (MCP roots — goose sends its session's working directory), then falls back to the directory it was started in if that has an AGENTS.md. list_context_sources reports which project it picked and how. To pin one project instead, set "env": { "MCP_CONTEXT_CARD_ROOT": "/abs/path/to/your/project" }; that always wins. Identity is optional. Over HTTP instead: PORT=8080 npx mcp-context-card. Requires Node ≥22.

HTTP mode is local by default, as the MCP transports spec asks: it binds 127.0.0.1, refuses foreign browser origins with 403, and refuses DNS names rebound to this machine. HOST=0.0.0.0 exposes it (a container or hosted deploy). There is no authentication or rate limiting, so put an exposed server behind your own. Memory is session data: an exposed server shows only its count on /card, and never serves or lists project.fafm, unless you set MCP_CONTEXT_CARD_PUBLISH_MEMORY=1. Details: docs/TRANSPORT.md.

In a host that shows MCP Apps (goose, for one), the card comes with the official MCP Apps helper, so it reports its size and fits its frame (about 700 KB, loaded by the host, not the model). For the plain card instead (about 30 KB, the host's default frame), set "env": { "MCP_CONTEXT_CARD_APP": "plain" }. Everywhere else the card is plain either way.

If command: "npx" fails to spawn (spawn npx ENOENT — seen on Cursor, whose host process doesn't inherit a shell PATH), point command at node and the installed dist/bin.js instead — see docs/WIRING.md. Transport choice is in docs/TRANSPORT.md.

Extending an MCP you already run: most hosts accept more than one mcpServers entry — add context-card alongside server-filesystem, server-git, or your own, and every agent in that host gains context, memory, and identity discovery without anything else changing.

Your identifiers

The AI Catalog names each entry urn:air:{domain}:{namespace}:{name}, and the domain is yours. It comes from your project's .fafa: run npx faf-cli card init (or --domain example.com), and it writes agent.id: urn:air:example.com:agent: . Your catalog then publishes urn:air:example.com:context: and so on, with no code to change. This repo's own .fafa says faf.one; that's our example, and yours says yours.

With no .fafa, no domain is invented: the served catalog uses the host it's served from (`l

只显示了开头部分;其余内容请在仓库中阅读

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