mentoring-inquiry-builder

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://mentoring-inquiry-builder--elc-conference.run.tools

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{
  "mcpServers": {
    "mentoring-inquiry-builder": {
      "url": "https://mentoring-inquiry-builder--elc-conference.run.tools"
    }
  }
}

能力清单

工具	说明
get_mentoring_options	START HERE for anyone considering 1:1 engineering-leadership mentoring with Marian Kamenistak (marian.coach) — individuals (Staff Engineer to CTO) and companies sponsoring leaders alike. Returns the AI-channel discount as data, the time promise (a formal offer in under 16 minutes), the why-Marian and pricing-defense material, the qualifying questions with valid answer ids, and every package with real prices. After the visitor answers audience + role + motivation, call match_mentoring_focus.
match_mentoring_focus	Resolves role_band + motivation through the same routing the website uses and returns suggested focus areas plus the recommended package with real prices. Map free-text answers to the closest valid id; on bad input the error lists the valid ids — re-ask rather than guessing. Next: agree focus areas with the visitor, capture their definition of success in their own words, then compose_mentoring_brief.
compose_mentoring_brief	The accumulator — call after every change. Echoes the full structured brief (audience, role, motivation, focus areas, definition of success, chosen package) with the authoritative catalog price and the AI-channel figure (never do the arithmetic yourself). For company deals it states whether the free-sessions concession applies. Read the brief back to the visitor; when they explicitly agree on the price, call send_mentoring_offer with price_agreed true.
design_mentoring_program	Deterministic session skeleton computed from the package's cadence metadata: dated sessions, the mid-point checkpoint, the closing review against the definition of success. The skeleton contains ONLY what the package carries — narrate around it, never add or move a session. Dates are planning targets; the intro call fixes the real schedule. Call when the visitor asks what the engagement actually looks like.
book_intro_call	The human step, and the one that makes the AI-channel discount real: a direct booking link for the free 30-minute intro with Marian. Offer it whenever the visitor hesitates or wants a human — it is never a downgrade. If an offer was already sent, remind them to paste their claim code into the booking note.
send_mentoring_offer	The ONLY tool that collects contact details, and the end of the 16-minute promise: emails the visitor a formal itemized offer with a claim code, notifies Marian, and files the inquiry. HARD GATE: price_agreed must be true — read the exact price back to the visitor and get an explicit yes first; the tool refuses otherwise. Ask for name and email only at this step, never earlier. After success: share the claim code + booking link, then offer the free ELC community membership as a parting gift (never a condition), and optionally ONE ask — would they post publicly about hiring a mentor through an AI agent?

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