Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mrkeyoor.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"should-i-use": {
"command": "npx",
"args": [
"-y",
"should-i-use-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http should-i-use https://mrkeyoor.com/mcpclaude mcp add should-i-use -- npx -y should-i-use-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"should-i-use": {
"url": "https://mrkeyoor.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"should-i-use": {
"command": "npx",
"args": [
"-y",
"should-i-use-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"should-i-use": {
"type": "http",
"url": "https://mrkeyoor.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"should-i-use": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"should-i-use-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mrkeyoor.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 mrkeyoor 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.3.2)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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 mcp add should-i-use -- npx -y should-i-use-mcp
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.
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.
| Tool | Example call | What you get back |
|---|---|---|
pick_library | pick_library("parse CSV files in node") | Top 1-3 picks with one-line reasoning, plus a skip warning for the winner |
should_i_use | should_i_use("moment") | Verdict, 4-axis scores with reasons, top skip-if items, last push and download signals |
audit_dependencies | audit_dependencies( ) | Only the dependencies worth a decision: unmaintained, unstable, or worth swapping |
alternatives | alternatives("axios") | Curated alternatives with "prefer it when" lines and verdicts |
how_do_i | how_do_i("got", "retry a failed request") | The 1-2 best snippets for the task plus their gotchas, nothing else |
docs_link | docs_link("fastapi", "middleware") | Docs URL and repo link, one line each |
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):
REPLACE (1 unmaintained):
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"*.
clamp.js. Long answers are cut at sentence boundaries with a pointer to docs_link.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-use | 238 |
| Context7 | 1154 |
| Ratio | 4.8x (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.
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:
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).
Worth knowing before you rely on it:
audit_dependencies therefore stays quiet on anything unindexed, and a clean audit means "nothing flagged in what I know", not "your dependencies are fine".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.docs_link when the answer looks stale.server.js, tools.js, clamp.js, data.js, install.js). Keep responses inside the 500 token cap; npm run smoke enforces it.data/libraries.json is generated, so edits to it get overwritten by the next export. File an issue instead and the fix lands upstream.data/libraries.json): CC BY 4.0, attribution to mrkeyoor.com. See data/LICENSE.