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DC Member API

作者:dynamitecircle版本 2.6.1i★ –i在云端运行
注册名称io.github.dynamitecircle/dc

安装

概览

作者提供的说明(英文原文)

Read and act on your own Dynamite Circle membership data via the public DC Member API.

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

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://api.dynamitecircle.com/mcp

在终端中运行这条命令

claude mcp add --transport http dc https://api.dynamitecircle.com/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": {
    "dc": {
      "url": "https://api.dynamitecircle.com/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": {
    "dc": {
      "type": "http",
      "url": "https://api.dynamitecircle.com/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://api.dynamitecircle.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 dynamitecircle 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32461 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32461 个服务器的 60% 更新
  • 基础检查结果等于或优于此分类中其他 32461 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

DC Member API 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.6.1)于25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:Spec Driven Development, Remote Desktop Commander, dotnet-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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

dotnet-mcp

作者:Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

在你的电脑上运行今天更新
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。

DC Official Clients

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

About the Dynamite Circle

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.

Quick Start

Never used Claude Code, Codex, or git? Here's the 5-minute path from zero to "Claude can read my DC profile."

1. Install the basics (one-time)

You need three free things on your computer:

  • Python 3.9+ — the language this client is written in. Download here (Mac/Windows/Linux installers; check "Add Python to PATH" on Windows).
  • Git — the tool that downloads code from GitHub. Download here.
  • An AI assistant — pick one:
  • [Claude Code](https://claude.com/product/claude-code) ← *recommended* — this repo is built around it
  • [Codex CLI](https://github.com/openai/codex) — works too, slightly different commands
  • [Claude Desktop](https://claude.ai/download) — the chat app, gets you the MCP server but no CLI

If anything during install asks "do you want to add to PATH?" — say yes.

2. Get the code

Open a terminal:

  • Mac: Spotlight → "Terminal"
  • Windows: Start → "Terminal" (or "PowerShell")
  • Linux: you know what to do

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.

3. Get your DC API key

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_….

4. Tell the client about your key

Back in your terminal (still inside the dc folder):

python3 py/dc.py setup --api-key dk_paste_your_key_here
5. Try it

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.

If something didn't work
SymptomWhat to try
python3: command not foundPython 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 foundSame 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 elseRun python3 py/dc.py self-test from the dc folder — it tells you exactly which step is broken.

How it's exposed

The same dc.py file is shipped as four integrations — pick whichever fits how your tool talks to it:

IntegrationWhat it isInvoke withDependencies
Agent SkillAuto-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 commandsstdlib only
CLIRun commands directly from the shell or scriptspython3 py/dc.py stdlib only
Python libraryImport in your own Python codefrom dc import DC; DC().profile()stdlib only
MCP serverSpeaks Model Context Protocol over stdio (Claude Desktop, Cursor, Codex MCP, Cline, etc.)python3 py/dc.py --mcppip install mcp (optional)

The mcp package is lazy-imported — Agent Skill / CLI / Python-library users never need it.

TypeScript npm library

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.

Don't want to install anything? Use the hosted MCP

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 Code: claude mcp add --transport http dc https://api.dynamitecircle.com/mcp
  • Claude (web / Desktop / mobile): Settings → Connectors → Add custom connector → paste the URL → Connect
  • VS Code: click the badge above, or code --add-mcp '{"name":"dc","url":"https://api.dynamitecircle.com/mcp"}'
  • Cursor: click the badge above, or add a custom MCP connector pointing at the URL
  • ChatGPT / any other MCP app: add a custom / remote MCP connector pointing at the URL above

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 appHosted 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 scriptingThis 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.

Features

  • Full Member API coverage — read + write across every public endpoint (run python3 py/dc.py help for the live list)
  • Setup command — saves your API key to a chmod-600 .env.dc next to the skill
  • Self-test command — validates env, network, key shape, and a live /profile call end-to-end
  • Cursor pagination — every list-returning command uses the same [--limit N] [--cursor TOKEN] shape and returns the canonical envelope {items, count, cursor, has_more}
  • Three output formats — text (default, pretty JSON), --json, --python
  • MCP-ready — same skill auto-exposes all commands as MCP tools
  • Pre-configured for Claude Code — repo ships an .mcp.json, just cd and claude

CLI quickstart (already comfortable in a terminal?)

If you're skipping past the Quick Start above and just want the CLI flow, here's the condensed version.

1. Get an API key

DC profile dropdown → DC Member API Key (admins/testers only). Keys look like dk_ and are revocable from the same dropdown.

2. Save the key
python3 py/dc.py setup --api-key dk_<api-key>

This writes py/.env.dc (chmod 600, gitignored).

3. Verify the connection
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[ ] " } ] }

4. Try a few commands
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.

Setup per AI tool

Hosted MCP (no install, always current)

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.

Claude Code (local client)

.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.

Auto-updating local MCP via 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).

Claude Desktop

Easiest — one-click `.mcpb`: download dc.mcpb from the [latest GitHub release](h

只显示了开头部分;其余内容请在仓库中阅读

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