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

Archestack

作者:archestack版本 0.3.0i★ –i电脑或云端
注册名称io.github.archestack/mcp

安装

概览

作者提供的说明(英文原文)

Search, rank and compare open-source AI projects with Archestack's open data

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

  • 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.archestack.com/mcp

或者在你的电脑上运行

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

{
  "mcpServers": {
    "archestack": {
      "command": "npx",
      "args": [
        "-y",
        "@archestack/mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http archestack https://mcp.archestack.com/mcp

或者在你的电脑上运行

claude mcp add archestack -- npx -y @archestack/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": {
    "archestack": {
      "url": "https://mcp.archestack.com/mcp"
    }
  }
}

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": {
    "archestack": {
      "command": "npx",
      "args": [
        "-y",
        "@archestack/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": {
    "archestack": {
      "type": "http",
      "url": "https://mcp.archestack.com/mcp"
    }
  }
}

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": {
    "archestack": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@archestack/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.archestack.com/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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 archestack 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“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 7220 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7220 个服务器的 73% 更新
  • 基础检查结果等于或优于此分类中其他 7220 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

Archestack 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?

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(0.3.0)于14天前进入注册中心。

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: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★ 64,224MIT3天前更新
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★ 48,148MIT20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★ 5,213MIT44天前更新
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。

Archestack MCP server

Ask your assistant about open-source AI projects and get answers from the Archestack rankings: scores, GitHub facts, reviews and open-source picks for paid tools.

It covers two lists:

  • Best of AI: self-hosted AI apps and infrastructure, like chat UIs, model servers, RAG, agents and vector databases.
  • Best of Vibe Coding: starters, coding agents, MCP servers, skills and plugins for building with AI.

It reads the open data API. No key, no account. Run it on your machine with npm, or add the hosted server by its URL.

Hosted server

https://mcp.archestack.com/mcp: the same tools over streamable HTTP, for apps that take a URL instead of a command. Read-only, no sign-in.

  • Claude (claude.ai and the desktop app): Settings → Connectors → Add custom connector, paste the URL.
  • Claude Code: claude mcp add --transport http archestack https://mcp.archestack.com/mcp
  • Any client: { "type": "http", "url": "https://mcp.archestack.com/mcp" }

It runs on Cloudflare's free Workers plan, so it allows 120 requests a minute per address and can run out of requests late in a busy day (UTC). It keeps no logs of your questions: privacy. For heavy use, run the npm package below.

Safety allowlist for admins

The hosted server also serves Archestack's safety checks as allowlists: MCP servers whose latest run passed every applicable check, pinned to the package version that was read, each with the official MCP Registry's record of that version.

  • GitHub Copilot ("Registry only" policy): MCP Registry URL https://mcp.archestack.com/registry (v0.1 API: /v0.1/servers, /v0.1/servers/{name}/versions/{version}).
  • Claude Code: managed-mcp.json for a fixed set, or allowedMcpServers for managed settings.
  • The data: /api/v1/allowlist.json. A check result is a fact about what was read on that date, not a guarantee.

Install

Needs Node.js 22 or newer. One click for Cursor or VS Code:

Claude Code

claude mcp add archestack -- npx -y @archestack/mcp

Claude Desktop: add this to claude_desktop_config.json (Settings → Developer → Edit Config), then restart the app.

{

"mcpServers": { "archestack": { "command": "npx", "args": ["-y", "@archestack/mcp"] } } }

Cursor: the same mcpServers block in ~/.cursor/mcp.json, or in .cursor/mcp.json for one project.

VS Code without the button:

code --add-mcp '{"name":"archestack","command":"npx","args":["-y","@archestack/mcp"]}'

From source

git clone https://github.com/archestack/mcp.git archestack-mcp

cd archestack-mcp npm ci && npm run build

Then point your client at node /full/path/to/archestack-mcp/dist/index.js instead of npx -y @archestack/mcp.

Tools

ToolWhat it does
search_projectsFinds projects by words and filters: list, category, license family, runs without a GPU, arm64 build, live demo
get_projectOne project in full: score and its parts, place in its category, GitHub facts, health, links, review
deploy_factsWhat it takes to run one project: Docker, arm64, GPU, RAM, outside services, port, its stated needs, upkeep
top_in_categoryThe ranking of one category, best first
compare2 to 4 projects side by side
check_repoBefore you install a GitHub repo: listed or not, license, upkeep, safety checks passed and failed, higher picks
alternatives_toOpen-source picks for a paid product, such as Cursor or ChatGPT

All seven are read-only. Things to ask:

  • "Which vector database runs without a GPU?"
  • "Open-source alternatives to Cursor"
  • "Compare Open WebUI and LibreChat"
  • "Top 5 coding agents with an arm64 build"
  • "Check github.com/ruvnet/ruflo before I install it"

What comes back, shortened (search_projects with "vector database" and no_gpu, data of 2026-10-13):

{

"updated": "2026-10-13", "total": 15, "results": [ { "name": "Milvus", "place": 1, "score": 81, "stars": 46366, "license": "Apache-2.0", "gpu": "optional", "arm64": true, "tagline": "Distributed vector database with dense, sparse and hybrid search at scale", "source_url": "https://archestack.com/best-of-ai/projects/milvus/", "checked_at": "2026-10-13" }, { "name": "Meilisearch", "place": 2, "score": 75, "gpu": "none", "...": "..." } ] }

How it works

  • It talks to archestack.com and nothing else. The API is static JSON served with the site. The server sends nothing about you or your questions and has no telemetry.
  • The npm server checks each file against the JSON Schema published next to it (/api/v1/schema/). If a file does not match, you get an error instead of a made-up answer. The hosted server skips this check to stay inside the free plan's CPU time; the tests run both against the same recorded files.
  • Each request times out after 8 seconds, with two retries and backoff. The server keeps each file in memory for an hour; Archestack refreshes the data twice a day.
  • Every project in an answer carries source_url, its page on archestack.com, and checked_at, the date its facts were checked on GitHub.
  • ARCHESTACK_API_URL points the server at another copy of the API. The tests use it for a local one.

Data and license

The code is MIT. The data is CC BY 4.0 by Archestack: if you publish something built on it, link the project page (source_url).

Archestack checks every project on GitHub: stars, last commit, license, Docker files. How the score works: archestack.com/methodology/.

Development

npm ci

npm test # builds, then runs the server over stdio against recorded API answers npm run fixtures # records fresh answers from archestack.com into test/fixtures npx @modelcontextprotocol/inspector node dist/index.js # try the tools by hand npx wrangler@4.141.0 dev # the hosted server on http://localhost:8787/mcp

src/worker.ts is the Cloudflare Worker entry (config in wrangler.jsonc); npm run deploy publishes it with CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID set.

Bugs and ideas: open an issue.

问 PopNx