Requstory

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

• 接続方法: クラウドで動く
• トランスポート: Streamable HTTP
• カテゴリ: その他
• 入力が必要なもの：Authorization

インストール

使っているAIアプリを選んで、設定をコピーしてください。

必要なもの

• クラウドで動くインストール不要。インターネット経由でつながります

どのアプリを使っていますか？

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"
      }
    }
  }
}

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

自分で入力する値

• Authorization 秘密 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…

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

ツールの名前と説明は、サーバーが2026年11月6日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

• 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.

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック

• ! 注意

  作者とリポジトリが一致

  レジストリにソースのリポジトリが載っていないため、公開者（requstory.com）とコードを照合できません

• … 未チェック

  今もメンテナンスされている

  このリポジトリはまだGitHubから読み取っていません

• … 未チェック

  ライセンスがある

  このリポジトリはまだGitHubから読み取っていません

• ✓ 合格

  エンドポイントが応答する

  711ミリ秒で応答（HTTP 200）

• – 対象外

  OAuthでサインイン

  サインイン不要

• ✓ 合格

  ツールの説明に隠れた指示がない

  20件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

その他のほかのサーバーとの比較i

• このカテゴリのほかの32684件のうち0%よりスターが多い
• このカテゴリのほかの32684件のうち88%より最近レジストリに公開
• 基本チェックの結果が、このカテゴリのほかの32684件のうち37%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方：★ GitHubスターi3つの柱：レビュー · チェック · 利用状況i更新＝最新バージョンをレジストリに公開した日i

作者のREADME

リポジトリにREADMEが見つかりません