Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Read and act on your own Dynamite Circle membership data via the public DC Member API.
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://api.dynamitecircle.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http dc https://api.dynamitecircle.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dc": {
"url": "https://api.dynamitecircle.com/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": {
"dc": {
"type": "http",
"url": "https://api.dynamitecircle.com/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://api.dynamitecircle.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 6일 점검
레지스트리 이름이 GitHub 계정 dynamitecircle 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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.6.1)은 25일 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, Symantec Cloud DLP AIops
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.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Official clients for the Dynamite Circle Member API — your own profile, trips, events, virtual events, tickets, invites, inbox, rooms, chapters, places lookup, and the weekly locator digest.
The Python client is a single self-contained file. Zero dependencies (stdlib only). Works as a CLI, a Python library, and a Model Context Protocol server. Compatible with Claude Code, Claude Desktop, Codex CLI, Gemini CLI, Cursor, GitHub Copilot, and every other Agent Skills / MCP-compatible tool.
The TypeScript client is an npm library for trusted server-side TypeScript projects. It is not a CLI and not an MCP server.
py/dc.py ← Python: CLI + library + MCP server
ts/src/ ← TypeScript: npm library contracts/ ← pinned OpenAPI contract shared by both clients
The Dynamite Circle is the place where global founders find their people — a curated, members-only community of location-independent business owners running profitable companies around the world. Founded in 2011 (it started with twenty listeners on a remote tropical island), the DC has grown into a hand-selected network of ~1,500 active founders who meet at vetted in-person events like DCBKK and DCMEX, swap notes in private rooms, and travel through each other's home cities year-round.
DC is a private community, but it's open to applications from founders running location-independent businesses doing $100k+ in annual revenue. Every application is personally reviewed by a team member within 48 business hours — start an application here if that sounds like you.
Never used Claude Code, Codex, or git? Here's the 5-minute path from zero to "Claude can read my DC profile."
You need three free things on your computer:
If anything during install asks "do you want to add to PATH?" — say yes.
Open a terminal:
Then paste:
git clone https://github.com/dynamitecircle/dc.git
cd dc
You now have a folder called dc with all the code in it.
In your browser: go to https://dc.dynamitecircle.com, log in, click your profile photo (top-right), and choose DC Member API Key. Copy the long string starting with dk_….
Back in your terminal (still inside the dc folder):
python3 py/dc.py setup --api-key dk_paste_your_key_here
Open Claude Code and make sure it's pointed at the dc folder you just downloaded. (Claude usually opens to your last project — if it's somewhere else, click the folder icon and pick dc.)
Then ask:
"Show me my DC profile"
Claude runs the right command and shows you back your profile. A few more to try:
"What's the latest in DC announcements?"
"What events am I attending?"
"Show me the DCMEX schedule and bookmark anything about marketing"
"Who else from my chapter is going to DCBKK?"
You're done. The rest of this README explains what's possible in more detail; py/SKILL.md lists every command Claude can run.
| Symptom | What to try |
|---|---|
python3: command not found | Python didn't install or didn't get added to PATH. Re-install and check the "Add to PATH" box on Windows; on Mac, try python instead of python3. |
git: command not found | Same idea — re-install Git. |
Claude says "I don't see a dc skill" | Make sure Claude Code is opened to the dc folder, not your home directory or another project. Or just ask Claude: *"are you in the dc folder?"* |
| Anything else | Run python3 py/dc.py self-test from the dc folder — it tells you exactly which step is broken. |
The same dc.py file is shipped as four integrations — pick whichever fits how your tool talks to it:
| Integration | What it is | Invoke with | Dependencies |
|---|---|---|---|
| Agent Skill | Auto-discovered via SKILL.md frontmatter (Claude Code, Codex, Gemini CLI, Cursor, Copilot) | Just open the repo with the tool — it reads py/SKILL.md and offers the commands | stdlib only |
| CLI | Run commands directly from the shell or scripts | python3 py/dc.py | stdlib only |
| Python library | Import in your own Python code | from dc import DC; DC().profile() | stdlib only |
| MCP server | Speaks Model Context Protocol over stdio (Claude Desktop, Cursor, Codex MCP, Cline, etc.) | python3 py/dc.py --mcp | pip install mcp (optional) |
The mcp package is lazy-imported — Agent Skill / CLI / Python-library users never need it.
For TypeScript projects, use the package under ts/:
import { DC } from "@dynamitecircle/dc";
const dc = new DC({ apiKey: process.env.DC_API_KEY! });
const profile = await dc.profile.get(); const trips = await dc.trips.list({ limit: 10 });
Keep dk_... API keys server-side. Do not ship a member API key in browser JavaScript.
The DC Member API is also a hosted MCP server — a remote endpoint you point your AI app at, with nothing to clone, install, or update:
https://api.dynamitecircle.com/mcp (Streamable HTTP)
claude mcp add --transport http dc https://api.dynamitecircle.com/mcpcode --add-mcp '{"name":"dc","url":"https://api.dynamitecircle.com/mcp"}'When prompted, sign in with your DC account (one-click OAuth) — or send a dk_ key as Authorization: Bearer. The server is always on the current API version, so there's nothing to keep up to date.
Hosted MCP vs. this client — which do I want?
| You want… | Use |
|---|---|
| Zero install, always-current, just MCP tools in a chat app | Hosted MCP (URL above) |
To call DC from your own Python code (from dynamitecircle import DC) | This client (library) |
A local CLI (dc profile) or shell scripting | This client (CLI) |
| A local stdio MCP server (offline-capable, pin a version, dev against localhost) | This client (dc --mcp) |
The rest of this README is about this client. For the hosted MCP, the URL above is all you need.
python3 py/dc.py help for the live list).env.dc next to the skill/profile call end-to-end[--limit N] [--cursor TOKEN] shape and returns the canonical envelope {items, count, cursor, has_more}--json, --python.mcp.json, just cd and claudeIf you're skipping past the Quick Start above and just want the CLI flow, here's the condensed version.
DC profile dropdown → DC Member API Key (admins/testers only). Keys look like dk_ and are revocable from the same dropdown.
python3 py/dc.py setup --api-key dk_<api-key>
This writes py/.env.dc (chmod 600, gitignored).
python3 py/dc.py self-test
Expected output:
{
"ok": true, "userID": " ", "displayName": " ", "checks": [ { "step": "env", "ok": true, "message": "DC_API_KEY loaded from ..." }, { "step": "keyShape", "ok": true, "message": "Key prefix valid (expected userID: )" }, { "step": "profile", "ok": true, "message": "connected as userID[ ] " } ] }
python3 py/dc.py profile
python3 py/dc.py trips --limit 5 python3 py/dc.py events --past --limit 3 python3 py/dc.py chapters --limit 5 python3 py/dc.py permacode
Run python3 py/dc.py help for the full command list.
Nothing to clone or update — point your tool at the remote endpoint:
# Claude Code
claude mcp add --transport http dc https://api.dynamitecircle.com/mcp
For Claude web / Desktop, Cursor, ChatGPT, and other MCP apps, add a custom / remote connector pointing at https://api.dynamitecircle.com/mcp (Streamable HTTP). Sign in with your DC account (OAuth) or send a dk_ key as a Bearer header. Discovery is published at /.well-known/mcp.json. This is the lowest-effort path; everything below runs the client locally instead.
.mcp.json is already shipped with this repo. Open the repo with claude:
cd dc
claude
Tools become available as mcp__dc__*. First-time install of the optional MCP dependency:
pip install -r py/requirements.txt
Skill discovery (CLI + import) works automatically via py/SKILL.md.
uvx (PyPI)Prefer a local stdio server that pulls the latest published client on every launch with no clone to maintain? Use uv's uvx and pass your key in the env block:
{
"mcpServers": { "dc": { "type": "stdio", "command": "uvx", "args": ["--refresh", "--from", "dynamitecircle[mcp]", "dc", "--mcp"], "env": { "DC_API_KEY": "dk_ " } } } }
Notes: the console script is dc (not dynamitecircle), so --from dynamitecircle[mcp] is required — it both names the package and pulls the optional mcp extra. --refresh is what makes it auto-update; drop it to let uvx cache. The DC_API_KEY in env wins over any .env.dc (an ephemeral uvx install has none).
Easiest — one-click `.mcpb`: download dc.mcpb from the [latest GitHub release](h
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