Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Test the idea before you build it. Rapidly works inside your AI agent.
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://www.rapidly.co/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http rapidly https://www.rapidly.co/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"rapidly": {
"url": "https://www.rapidly.co/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": {
"rapidly": {
"type": "http",
"url": "https://www.rapidly.co/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://www.rapidly.co/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 6일 점검
레지스트리 이름이 도메인 rapidly.co 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.0.0)은 2개월 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, LickityClick
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.
Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Rapidly works inside your AI agent. Bring an idea you already have, or ask it to generate one from a company website. In about five minutes, you get a build prompt for the smallest Pretotyping experiment worth running.
Rapidly builds the Lean Canvas, turns the riskiest assumption into a measurable hypothesis, researches a pass mark and designs practical experiments. Your agent builds the test. Real customers give you the evidence.
Rapidly MCP is generally available.
Version 2.0.0 is published in the official MCP Registry.
Works with Claude, Codex, ChatGPT and Hermes. OpenClaw, Grokbot and other agents can also use Rapidly if they support remote MCP.
Connect Rapidly · Let your agent set it up · Manual setup
A suburban independent bookshop wants to grow weekday foot traffic and build a younger, regular customer base.
Rapidly generated three ideas. We chose the Third-Place Pass: a $19 monthly membership with a guaranteed two-hour weekday seat, a rotating perk and a members' shelf.
Rapidly built the Lean Canvas, turned the riskiest demand assumption into a measurable hypothesis and proposed five Pretotyping experiments. The simplest started with staff asking warm, local customers to pay. The next used a counter card and landing page, with a proposed pass mark of 15%.
See the complete Rapidly run · Open the customer-facing landing page
This was a demonstration for a hypothetical bookshop. The pass mark was a proposal to test, not a measured result. No customer results are claimed.
You can. We do. The answer will probably look reasonable.
Rapidly is useful because the method is already there. For one idea, the core run:
Your agent handles that complete run through test_idea. The other experiment options stay saved with the idea, ready to use later. See the seven standard tools and three advanced method tools.
Successful work is also saved with the idea in your Rapidly team instead of disappearing in a chat thread. You can bring the result back later and decide whether to fund it, fix it, stop it or run another test.
The method combines Alberto Savoia's Pretotyping with our own practice through 4,000+ experiments with client teams and 200+ workshops.
The plugin bundles the Rapidly MCP connection with four skills that tell your agent when and how to use it: test an idea, record a test result, choose the next idea, and setup.
In Claude Code:
/plugin marketplace add Exponentially-Platform/Rapidly-MCP
/plugin install rapidly@rapidly
Then run /mcp, choose Rapidly and sign in.
In Codex:
codex plugin marketplace add Exponentially-Platform/Rapidly-MCP
Then open the Plugins Directory in the ChatGPT desktop app or Codex, choose the Rapidly marketplace and install Rapidly. Sign in when Rapidly asks.
In Cursor, the repository carries a Cursor marketplace manifest that points at the same plugin. Install Rapidly from the Cursor marketplace once it is listed, then sign in when Rapidly asks.
The plugin lives in plugins/rapidly. scripts/package-openai-plugin.sh builds the ZIP for OpenAI's plugin directory.
Open rapidly.co/rapidly-mcp and enter your name, email and team name. Rapidly creates the account and team, then shows your personal token once.
The page gives you copy-ready setup for Codex CLI and Claude Code. Follow the steps, start a fresh conversation and you're ready to try an idea.
Connect with OAuth, choose your Rapidly team and approve access. You don't need to create another account or personal token.
The exact steps differ between Codex, Claude and ChatGPT. Use the setup instructions for your agent.
Give your agent this address and ask it to connect Rapidly:
https://www.rapidly.co/mcp
Use OAuth if the agent supports it. Otherwise, follow the agent setup instructions to keep your personal token out of chat and project files.
To generate three ideas and fully test all three in one request:
Ask Rapidly for three ideas for [company], focused on [opportunity], and fully test all three in one go.
Rapidly should save all three ideas, complete each Canvas and hypothesis, save three to five experiment options for each idea, and return one build prompt for each recommended first test.
Use one you already have:
Ask Rapidly to test this idea: [describe the customer, problem and proposed change].
Or ask Rapidly to generate one from a company and its website:
Ask Rapidly to generate [one or more] ideas for [company name] using [website URL]. Focus on [optional customer, problem or opportunity].
Rapidly researches the company, returns grounded ideas with sources and offers to take one through the method. If you're bringing your own idea, add anything you already know, where that information came from and any constraints that matter.
Rapidly works through the method one saved stage at a time. Your agent should continue the same test_idea automatically while Rapidly reports that work is still in progress. Keep the returned project link; if the conversation stops, include that link or project ID when asking Rapidly to continue. You don't need to choose stages, decide whether to save or manage a retry key.
By the end, you should have:
Review the output, ask your agent to build the asset, then put the test in front of real customers.
See more example prompts
We're looking for the points where this becomes confusing or stops being useful.
After your run, please tell us:
Email hello@rapidly.co with the subject Rapidly MCP feedback. Tell us which agent you used and where you stopped. We won't share your idea, feedback or results publicly without asking you first. Please remove tokens and customer data from feedback, logs and screenshots.