Requstory

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 其他
• 你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

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"
      }
    }
  }
}

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

• Authorization 机密 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…

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• 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.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（requstory.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 711 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 20 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 32727 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 32727 个服务器的 88% 更新
• 基础检查结果等于或优于此分类中其他 32727 个服务器的 37%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README