Requstory

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

• 연결 방식: 클라우드에서 실행
• 전송 방식: Streamable HTTP
• 카테고리: 기타
• 입력해야 할 값: Authorization

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

필요한 것

• 클라우드에서 실행설치할 것 없음. 인터넷으로 연결돼요

어떤 앱을 쓰세요?

claude mcp add --transport http requstory https://requstory.com/mcp --header 'Authorization: your-value'

{
  "mcpServers": {
    "requstory": {
      "url": "https://requstory.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

{
  "servers": {
    "requstory": {
      "type": "http",
      "url": "https://requstory.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

• Authorization 비밀 HTTP header
  Optional. Public tools need no sign-in. Account tools ask the client to sign in with OAuth (discovery at https://requstory.com/.well-known/oauth-protected-resource/mcp); clients without OAuth can sen…

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

• search_companies

  Find companies Requstory has already mapped and scored from their public websites, by name or website. Use this first to get the "slug" for get_company_score. For a company that is not found, use check_ai_readiness (quick, public) or map_website (full map, needs a key).

• get_company_score

  Get a public company's ease-of-doing-business score (0–100, four parts: find and understand, get started online, get help, AI-agent ready), its ranking place, and the gaps that cost it points, most costly first, with proof. Use after search_companies. For a site with no public pa

• get_company_owners

  Teams, processes and who owns each at a company Requstory has mapped, so you know who to contact or hand work to. Owners the company published itself in its operating-model.requ are marked confirmedByCompany; the rest were read from its website. "claimed" is true when someone who

• check_ai_readiness

  Check whether AI agents can read, understand and act on any website (bots allowed, readable pages, product data, checkout, help). Reads up to 3 public pages; results are kept for 24 hours and public at requstory.com/ai-readiness/ /. Faster and narrower than map_website. If status

• order_readiness_report

  Order the 9-page AI readiness report for a company, made and emailed by Requstory's AI agents about 2 minutes after payment: company map, every process step by step (agent alone, agent prepares, person), the three best places to start with tested models, ease score against simila

• get_report_order

  Status and live timeline of an AI readiness report order: every step, and whether an agent, code or a person did it. Status: awaiting_payment, in_progress, delivered, exception, refunded or cancelled.

• map_website

  Map how a company works from up to 6 pages of its public website: customer journey, teams, processes and handoffs. The map is saved to your Requstory account (free; 5 a day). Waits up to 25 seconds; if the job is still running, poll get_map_job. Then read it with get_map. Needs a

• get_map_job

  Check a map_website job that was still running. When status is "complete" it returns mapId for get_map. Needs a signed-in Requstory account.

• list_maps

  List the maps saved in your Requstory account (newest first) with their ids. Use to find a mapId for get_map or ask_map. Needs a signed-in Requstory account.

• get_map

  Read a saved map in brief: journey stages, teams with owners and processes, teams with no owner, checks peers pass but this company misses, AI-agent readiness gaps, fix progress and source pages. Set full=true for the whole JSON model. Use ask_map for a specific question instead.

• ask_map

  Ask a question about a saved map. By default it answers free from the map's website pages and entries, with citations. Set ai=true for a written Requ AI answer, which uses account credits (Team). Prefer get_map for an overview. Needs a signed-in Requstory account.

• get_ai_company

  Get a made-up company run end to end by AI agents, built from real public company maps, as a Requ template: teams as agent lanes, the model for each step, steps a person keeps, and monthly model cost. Use it as a starting point to design an AI-agent-run business; edit the Requ an

• start_o2c_demo

  Start a month of a made-up B2B online store (Harbour & Home) run by four AI agents: process orders, ship orders, invoice and collect payments, handle returns. Real trade order lines; you or your user play the founder, who is asked about credit limits, short stock, packing, remind

• advance_o2c_run

  Let the agents work on a run from start_o2c_demo or start_o2c_run until they need the founder, the run ends, or up to "steps" actions (about 25 seconds at most). Returns what each agent did, every order's status and the totals. When exceptions are waiting, call list_o2c_exception

• list_o2c_exceptions

  List the questions the agents are waiting on the founder for (credit over the limit, short stock, packing, reminder wording, unclear bank payments, returns), each with its allowed choices. Each is a decision for the person who runs the business. Then call resolve_o2c_exception wi

• resolve_o2c_exception

  Record the founder's decision on one exception from list_o2c_exceptions, using only the choice the person made (for example accept an order over its credit limit, or approve a refund). The decision is logged as made through MCP. Then call advance_o2c_run.

• start_o2c_run

  Run a day of your own business through the four order-to-cash agents: read new orders, check stock and credit, pick lists, invoices and their emails, match bank lines to open invoices, chase late payers and handle return emails. Nothing is sent; you get drafts and decisions. The

• get_o2c_order

  Everything about one order in a run: what the agent read, the invoice, its emails, any return, and every step and decision on it in order. Use for questions about a single order; advance_o2c_run lists the order ids.

• export_o2c_run

  The run's results: the ledger (every order and invoice with paid, owed and due), the emails to send, pick lists, every decision with who made it (founder, MCP, autopilot or an approval rule) and the billable moments. This is the audit record; use it when the run is done.

• get_account

  Show the signed-in Requstory account: plan (free or team), credits left, number of saved maps and maps left today, and order-to-cash use this month (orders billed, credits used, the price per order). Needs a signed-in Requstory account.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

• ! 주의

  제작자와 저장소 일치

  레지스트리에 소스 저장소가 없어서, 게시자(requstory.com)와 코드를 맞춰 볼 수 없어요

• … 아직 점검 안 함

  계속 관리되고 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• … 아직 점검 안 함

  라이선스 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• ✓ 통과

  엔드포인트 응답

  711ms 만에 응답(HTTP 200)

• – 해당 없음

  OAuth로 로그인

  로그인 필요 없음

• ✓ 통과

  도구 설명에 숨겨진 지시 없음

  도구 설명 20개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

기타 카테고리의 다른 서버와 비교i

• 이 카테고리의 다른 서버 32655개 중 0%보다 스타가 많아요
• 이 카테고리의 다른 서버 32655개 중 89%보다 최근에 레지스트리에 공개됐어요
• 기본 점검 결과가 이 카테고리의 다른 서버 32655개 중 37%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

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