Huntay AzerTürk

com.huntayazerturk由 huntayazerturk.com 發布官方發布者v1.1.0更新於 Oct 29, 2026

Check Huntay AzerTürk's availability, book a 30-minute intro call, and look up his services.

已驗證Streamable HTTP可網頁執行效率與工作流商業與電商

概覽

AI 產生的概覽

Huntay AzerTürk 顧問業務的遠端 MCP 伺服器:查詢其服務與個人簡介、搜尋網站內容,並預約 30 分鐘初次通話。

可以做什麼
  • 查詢即時可預約時段並預約 30 分鐘視訊初次通話,邀請信件由 Cal.com 寄送
  • 列出顧問與開發服務(可依使用者描述的需求排序),並檢視單項服務的詳細內容
  • 讀取該顧問的專業簡介、背景與聯絡方式
  • 依關鍵字搜尋網站上的服務、案例、常見問題、工作經歷與文章,並依 id 取得文件全文
適用情境
適合使用者正在評估 Huntay AzerTürk 的顧問或開發服務、想了解其背景與案例,或希望不離開對話就預約初次通話的情況。
執行需求
遠端 Streamable HTTP 端點,無需驗證、API 金鑰或本機執行環境。預約依賴公開的 Cal.com 行事曆,需要提供與會者姓名和電子郵件。
安裝前請注意
預約會建立真實的行事曆事件並寄送邀請信到所填信箱,應先與使用者確認時段和資料。與會者姓名和電子郵件會傳給 Cal.com。可預約時間僅限伊斯坦堡時間週一至週五 10:00–18:00。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Huntay AzerTürk,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.huntayazerturk%2Fassistant/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "huntay-azert-rk": {
      "type": "http",
      "url": "https://huntayazerturk.com/mcp"
    }
  }
}

README

Huntay AzerTürk - Fractional CTO & Principal Architect

A modern, bilingual (English & Turkish) personal landing page and CV portfolio built with Next.js 16 (App Router) and Tailwind CSS 4.

Features

  • Bilingual (i18n): Full English and Turkish support using next-intl.
  • Theming: Dark ("Bare Metal") and Light ("Corporate") modes using next-themes.
  • Responsive Design: Fully optimized for mobile, tablet, and desktop viewing.
  • Performance: Statically generated pages (SSG) with optimized fonts and layouts.
  • SEO & AEO Ready: Metadata with canonical + hreflang (incl. x-default), per-locale Open Graph images (app/[locale]/opengraph-image.tsx), sitemap with language alternates, robots.txt (AI crawlers explicitly allowed), /llms.txt, a visible FAQ section, and a Person + WebSite + ProfilePage + FAQPage JSON-LD graph — all generated from the same data/* sources. Update siteConfig.contentUpdatedAt in lib/site.ts whenever content changes.
  • Services & Booking: /services hub, one page per service (/services/<slug>) and a /book page, all driven by data/services.ts. /book embeds the Cal.com calendar cal.com/huntay/intro-call (30 min, Google Meet, Mon–Fri 10:00–18:00 Istanbul) set by calUsername / calEventSlug in lib/site.ts; with an empty username it falls back to bookingEmbedUrl / bookingUrl or WhatsApp and email requests. Search Console / Bing verification codes go in googleSiteVerification / bingSiteVerification.
  • AI assistants (MCP): app/mcp/route.ts serves a remote MCP server at https://huntayazerturk.com/mcp (Streamable HTTP, stateless, no auth), documented at /assistant. Tools: get_availability, book_intro_call (live via the public Cal.com API, no API key), list_services (optionally ranked by a described need), get_service, get_profile, and search / fetch over the site content (ChatGPT deep-research compatible). MCP Apps clients render an in-chat card (lib/mcp/widget.ts). Tool descriptions are intentionally neutral and Huntay-specific so the server meets the Claude and ChatGPT directory policies. It is listed in the official MCP Registry as com.huntayazerturk/assistant (server.json; domain verified via /.well-known/mcp-registry-auth).
  • Agent readiness: /llms.txt, /llms-full.txt, Markdown versions of pages for Accept: text/markdown (middleware), robots.txt with Content Signals, and /.well-known/ discovery files: MCP server card, API catalog (RFC 9727), agent skills index, MCP Registry and ChatGPT domain verification.
  • CV Download: Direct download link for the latest PDF CV with correct Content-Disposition headers.

Tech Stack

Development

bash
# Install dependenciesnpm install
# Run the development servernpm run dev

Open http://localhost:3000 with your browser to see the result.

Deployment

The project is configured for a standalone output, making it easy to deploy via Docker or directly to Vercel.

bash
# Build for productionnpm run build
# Start production servernpm start

來源:README.md,提交 8006c67

工具

7

get_availability

Check availability

Returns Huntay AzerTürk's open slots for a 30-minute intro video call (Google Meet), read live from his booking calendar (Monday–Friday, 10:00–18:00 Istanbul time). Use when the user wants to schedule a call with Huntay AzerTürk.

輸入參數daysfromlanguagetimeZone

book_intro_call

Book intro call

Books a 30-minute intro video call (Google Meet) with Huntay AzerTürk at a slot returned by get_availability, using the attendee's name and email; Cal.com emails the calendar invitation. Call only after the user has confirmed the slot and their details.

輸入參數name必填email必填notesstart必填languagetimeZone

list_services

List services

Lists the consulting and development services offered by Huntay AzerTürk, with links. If need is given (the user's problem or project in their own words), services are ranked by fit and each includes the matching item from its service page. Use when the user asks which of Huntay AzerTürk's services exist or fit their project.

輸入參數needlanguage

get_service

Get service details

Returns full details of one of Huntay AzerTürk's services: who it is for, deliverables, use cases, technologies and FAQ (including how pricing works). Use the slug from list_services.

輸入參數slug必填language

get_profile

Get profile

Returns the professional profile of Huntay AzerTürk (software architect, Istanbul): background, current role, experience highlights, languages and contact links. Use when the user asks about Huntay AzerTürk himself.

輸入參數language

fetch

Fetch document

Returns the full text of a document from search, by its id (e.g. "service:ai-agents" or "case-study:ai-ops").

輸入參數id必填

版本歷史

1
  1. v1.1.0最新Oct 29, 2026

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