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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Should I Use

作者:mrkeyoor版本 0.3.2i★ –i电脑或云端
注册名称io.github.mrkeyoor/should-i-use

安装

概览

作者提供的说明(英文原文)

Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.

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://mrkeyoor.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": {
    "should-i-use": {
      "command": "npx",
      "args": [
        "-y",
        "should-i-use-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http should-i-use https://mrkeyoor.com/mcp

或者在你的电脑上运行

claude mcp add should-i-use -- npx -y should-i-use-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": {
    "should-i-use": {
      "url": "https://mrkeyoor.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": {
    "should-i-use": {
      "command": "npx",
      "args": [
        "-y",
        "should-i-use-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": {
    "should-i-use": {
      "type": "http",
      "url": "https://mrkeyoor.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": {
    "should-i-use": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "should-i-use-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://mrkeyoor.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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 mrkeyoor 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“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4907 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4907 个服务器的 33% 更新
  • 基础检查结果等于或优于此分类中其他 4907 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

Should I Use 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(0.3.2)于3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:GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
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。

should-i-use

The MCP that tells your agent what NOT to install.

Most library docs MCP servers dump thousands of tokens of documentation into your context and let the model sort it out. This one answers the actual question: which library to pick, which to skip, and how to do the thing. Typical answers run 25 to 360 tokens. Every response is hard-clamped at 500.

992 libraries indexed. Last updated: 2026-08-16.

The index grows daily. Data comes from a curated set of npm and PyPI libraries with honest guides written to a fixed rubric and grounded in each library's own docs: what a library is actually like to set up, when you should not use it, verified alternatives, 4-axis scorecards, and version-correct code snippets. If a library is not indexed, the tools say so plainly instead of guessing.

If you want a Context7 alternative that treats context as a budget rather than a bucket, this is it.

Quickstart

No API key, no database. The index ships inside the package.

npx should-i-use-mcp install

That writes the server entry into whichever agent configs already exist on your machine: Claude Code, Claude Desktop, Cursor, Windsurf, Cline, VS Code, Zed, Codex, Gemini CLI. Each file it touches is backed up as .bak first. Restart your agent afterwards.

For a repo-local config instead of your home directory:

npx should-i-use-mcp install --project

That writes .mcp.json and .cursor/mcp.json in the current directory, so everyone who clones the repo gets the server.

Claude Code, one line
claude mcp add should-i-use -- npx -y should-i-use-mcp
By hand

If you would rather edit the JSON yourself, add this to your client's MCP config (~/.cursor/mcp.json for Cursor, ~/.codeium/windsurf/mcp_config.json for Windsurf, the Claude Desktop config on macOS or Windows, and so on):

{

"mcpServers": { "should-i-use": { "command": "npx", "args": ["-y", "should-i-use-mcp"] } } }

Any other MCP client: command npx, args ["-y", "should-i-use-mcp"]. Running from a local checkout: command node, args ["/path/to/should-i-use/server.js"]. VS Code puts the same object under servers instead of mcpServers, and Zed under context_servers; the installer handles both.

Hosted endpoint (rolling out)

A hosted streamable-HTTP endpoint is rolling out at https://mrkeyoor.com/mcp. It serves the live index, so it can be a day fresher than the npm snapshot. The npx install above is the stable path today.

Tools

ToolExample callWhat you get back
pick_librarypick_library("parse CSV files in node")Top 1-3 picks with one-line reasoning, plus a skip warning for the winner
should_i_useshould_i_use("moment")Verdict, 4-axis scores with reasons, top skip-if items, last push and download signals
audit_dependenciesaudit_dependencies( )Only the dependencies worth a decision: unmaintained, unstable, or worth swapping
alternativesalternatives("axios")Curated alternatives with "prefer it when" lines and verdicts
how_do_ihow_do_i("got", "retry a failed request")The 1-2 best snippets for the task plus their gotchas, nothing else
docs_linkdocs_link("fastapi", "middleware")Docs URL and repo link, one line each

audit_dependencies

The pitch is "ask before you npm install". This is the tool for the codebase you did not write, where the installing already happened.

Pass it the contents of package.json, requirements.txt, pyproject.toml, or just a newline-separated list of names. It returns only the dependencies that need a human decision, sorted into REPLACE (unmaintained), WATCH (unstable API or thin maintenance), and WORTH RECONSIDERING (a documented reason to skip plus a named alternative). It stays quiet about the boring majority, and it says nothing at all about packages that are not in the index rather than inventing an opinion.

Real output, unedited:

REPLACE (1 unmaintained):
  • crypto-js: last push 2.0y ago, still 19.3M/wk. Nineteen million weekly downloads of pure inertia behind a library whose own README tells you to stop using it. Consider @noble/hashes or @noble/ciphers.

REPLACE (1 unmaintained):

  • python-jose: last push 4mo ago, still 10.6M/wk. It works, it is widely deployed, and the API is pleasant, but a cryptography library with a three-and-a-half-year release gap and a ten-month turnaround on two critical advisories is not where new code should start. Consider pyjwt or joserfc.

Both of those are popular packages in current use. Download count is not a maintenance signal, and that is the gap this tool is for.

A good first prompt after installing: *"audit my dependencies"*.

Token budget, measured

  • Typical answer: 25 to 360 tokens, depending on the tool and how much the library page has to say.
  • Hard cap: 500 tokens per response, enforced in clamp.js. Long answers are cut at sentence boundaries with a pointer to docs_link.
  • The smoke test (npm run smoke) spawns the server, calls every tool against the bundled data, and fails if any response breaks the cap. The budget is a test, not a promise.

Measured against Context7 across 10 rounds of 20 queries on libraries sampled at random from this index, tokens estimated as chars/4. Ours is one how_do_i call; theirs is the two calls an agent actually makes, resolve-library-id plus the docs call at its default budget. Query text was authored from each library's description only, never from our stored answers.

Median tokens per answer
should-i-use238
Context71154
Ratio4.8x (round range 3.9x-6.2x)

Of 200 rows, 199 were answered by both servers; Context7 had no usable entry for 1 library, this index for 0.

Every number there is a measured MCP response, not a vendor claim. See the limitations below for what that ratio does and does not prove.

How the data is made

Every entry is a guide written to a fixed rubric, grounded in the library's own docs and validator-gated, backed by registry and repo signals — not scraped docs:

  • Guides and verdicts: what the library is, when to use it, when to skip it, published at mrkeyoor.com/libs by Keyoor.
  • Scores: 4 axes (API stability, docs quality, maintenance, ecosystem), 1-5 each, with a one-line reason per score.
  • Signals: last push, weekly downloads, and stars refreshed daily from the registries and GitHub.
  • Snippets: checked against the indexed version, each with its gotcha.

The bundled snapshot (data/libraries.json) is exported daily from that index. Honest means the index will tell you to skip the popular option when the maintenance signals say so. No library has paid to be listed or to change a score.

Set SHOULD_I_USE_DATA=/path/to/libraries.json to point the server at your own snapshot (same shape: a JSON array of library docs).

Requirements

  • Node 20+
  • Nothing else. No database, no network access at runtime.

Limitations

Worth knowing before you rely on it:

  • Coverage is curated, not complete. A few hundred libraries, not every package on npm and PyPI. audit_dependencies therefore stays quiet on anything unindexed, and a clean audit means "nothing flagged in what I know", not "your dependencies are fine".
  • The tools are advisory unless you add the policy line. An agent calls MCP tools when it decides to, so on its own this is a strong suggestion, not an interceptor: nothing forces every npm install through a check. To make the check near-automatic, run npx should-i-use-mcp install --with-policy inside a project: it appends a one-line dependency policy to your CLAUDE.md/AGENTS.md (creating AGENTS.md if neither exists), and agents that read project rules will then consult the index before adding any dependency.
  • Guides are research, not test drives. Each guide is grounded in the library's documentation, release notes, changelog, and issue history on a fixed rubric, not a hands-on install of every release. The 50 most-downloaded entries are additionally install-verified in clean containers (latest run: 49/50 clean; the one timeout was sglang's CUDA wheel tree, which its own guide warns about).
  • Guides are point-in-time. Signals refresh daily and guides are reviewed on a pipeline, so a library that shipped a big release or found a new maintainer this week can be ahead of what the guide says. Check docs_link when the answer looks stale.
  • `pick_library` ranks on keywords, not embeddings. Plain phrasing works well; unusual or metaphorical phrasing can miss entirely. If nothing matches, it says so instead of returning a shrug, but you may need to reword.
  • The benchmark is indicative, not definitive. 10 rounds of 20 queries on randomly sampled libraries, measured across two days. The 4.8x ratio is a real measurement with a 3.9x-6.2x round range, not a general law. The method and every row are in bench/; rerun it yourself if the number matters to you.
  • Verdicts are opinions. Informed, sourced, and argued, but still one person's judgment call. Disagreeing with one is a valid bug report.

Contributing

  • Missing library or wrong verdict? Open an issue. Challenges to verdicts are how the index gets better.
  • Code changes: PRs welcome for the server (server.js, tools.js, clamp.js, data.js, install.js). Keep responses inside the 500 token cap; npm run smoke enforces it.
  • Data changes: data/libraries.json is generated, so edits to it get overwritten by the next export. File an issue instead and the fix lands upstream.

License

问 PopNx