Huntay AzerTürk

com.huntayazerturk/assistant · v1.1.0 · productivity

Huntay AzerTürk is healthy: it completed an MCP handshake in 1534 ms and exposes 7 tools.

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

Endpoint: https://huntayazerturk.com/mcp (streamable-http)

Repository · Website · JSON · Add to my inventory

Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count7
Latency1534 ms
Last checked (UTC)2026-10-28T06:30:25.049Z

Health history

Checked (UTC)StatusLatencyError
2026-10-28T06:30:25.049ZHealthy1534

Tools (7)

get_availabilityReturns 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.
book_intro_callBooks 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.
list_servicesLists 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
get_serviceReturns 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.
get_profileReturns 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.
searchSearches the content of huntayazerturk.com — Huntay AzerTürk's services, case studies, FAQ, work experience and articles — by keyword. Returns matching documents (id, title, url); pass an id to fetch for the full text.
fetchReturns the full text of a document from search, by its id (e.g. "service:ai-agents" or "case-study:ai-ops").