Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Ask a company through its Concierge Agent Protocol front door.
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。
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。
选择你使用的 AI 应用,然后复制设置。
CAP_FROM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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"conciergeprotocol": {
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
],
"env": {
"CAP_FROM": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add conciergeprotocol --env CAP_FROM=your-value -- npx -y @conciergeprotocol/mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"conciergeprotocol": {
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
],
"env": {
"CAP_FROM": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"conciergeprotocol": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
],
"env": {
"CAP_FROM": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
CAP_FROM env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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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
注册名称已通过 GitHub 账户 conciergeprotocol 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
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。
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.6)于13天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, LickityClick
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
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.
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。
Packages for both sides of a CAP front door. @conciergeprotocol/client calls a door. @conciergeprotocol/mcp exposes that client as three tools, so Claude, Cursor, and other MCP hosts can ask a company. @conciergeprotocol/server runs a door from one answer function. @conciergeprotocol/agent builds that function from a model, an llms.txt file, and MCP tools.
The protocol is at conciergeprotocol.org. A company publishes agent.txt. It does not publish an MCP server for visitors. An MCP server, when there is one, stays behind the door.
npm install @conciergeprotocol/client
The MCP server is a command. Install it, or run it with npx as in the block below.
npm install @conciergeprotocol/mcp
import { createClient } from '@conciergeprotocol/client'
const cap = createClient({ from: 'agent:my-assistant' })
const answer = await cap.ask('example.com', 'Do you have a free plan?') console.log(answer.reply)
A follow-up sends only the new question:
const thread = cap.thread('example.com')
await thread.ask('What do you sell?') const price = await thread.ask('How much is the cheapest paid plan?')
discover returns null when a site has no front door. ask throws NoDoorError for the same case, which is the signal to browse the site instead.
ask waits up to two minutes. If the company is still answering, the message comes back with status: 'working' and no reply. get reads it again.
Account questions use login. The client opens the company's page, and finishLogin stores the token for the next ask. The token stays in the token store you pass to createClient.
Cursor, Claude Desktop, and VS Code use the same block. In VS Code it goes in .vscode/mcp.json. In Cursor and Claude Desktop it goes in the MCP settings file.
{
"mcpServers": { "cap": { "command": "npx", "args": ["-y", "@conciergeprotocol/mcp"], "env": { "CAP_FROM": "agent:my-assistant" } } } }
CAP_FROM defaults to agent:cap-mcp. The tools are cap_discover, cap_ask, and cap_check. The server is listed in the MCP registry as io.github.conciergeprotocol/mcp. cap_ask waits 60 seconds. If the company is still answering, it returns the message id and the model calls cap_check instead of guessing.
answer is the company's own function. The server keeps the thread, hides one caller's reply from another, and enforces the daily message cap.
import { createAnswer } from '@conciergeprotocol/agent'
import { createCapServer } from '@conciergeprotocol/server'
const answer = await createAnswer({ model: 'anthropic/claude-sonnet-4.5', instructions: 'You answer for Harbor Goods. Link to the page.', sources: [{ type: 'llms', url: 'https://harborgoods.example/llms.txt' }], })
const cap = await createCapServer({ agent: { name: 'Harbor Goods', chat: 'https://harborgoods.example/chat' }, answer, })
await cap.listen(8088)
A company that already has a bot can skip the agent package and pass its own answer. npx cap-check http://127.0.0.1:8088 reads agent.txt, asks one question, and checks that a second caller cannot read the reply.
Add a changeset, then merge to main:
bun run changeset
Package Checks runs on every push. When it passes on main, the publish workflow opens a version pull request, or publishes both packages and tags the release. The two packages stay on one version. When the npm publish succeeds, the same workflow lists the server in the MCP registry. The repository needs an NPM_TOKEN secret.
Apache 2.0