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Slipstream: short term rental analytics

作者：KevinCain版本 1.0.1i★ –i在云端运行
注册名称rentals.slipstream/slipstream

安装

概览

作者提供的说明（英文原文）

Read-only analytics for short-term rentals: bookings, occupancy, forecasts, reviews, owner payouts.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

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: 营销与社交媒体

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

你需要

你用的是哪个应用？

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址，然后点击 Add
  4. 如果要求登录，请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://slipstream.rentals/api/ask/mcp

在终端中运行这条命令

claude mcp add --transport http slipstream https://slipstream.rentals/api/ask/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "slipstream": {
      "url": "https://slipstream.rentals/api/ask/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "slipstream": {
      "type": "http",
      "url": "https://slipstream.rentals/api/ask/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
  3. 粘贴下面的地址，起个名字，然后保存
  4. 如果要求登录，请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://slipstream.rentals/api/ask/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

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

服务器要求先登录，才会列出它的工具。

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 slipstream.rentals 验证（注册中心会核实域名所有权）

  • … 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 298 毫秒内响应（HTTP 401）

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录，你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查；我们会在检查端点时读取工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2987 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2987 个服务器的 80% 更新
  • 基础检查结果等于或优于此分类中其他 2987 个服务器的 100%

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。

常见问题

Slipstream: short term rental analytics 安全吗？

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.1）于8天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

MCP YouTube Transcript

作者：jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
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作者：surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT10天前更新
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AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT10天前更新
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作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Slipstream MCP server

Slipstream connects AI apps to a short-term rental host's own data: bookings, occupancy, forecasts, reviews and owner payouts from Hospitable, OwnerRez or an Airbnb account connected through Hospitable Connect. Every tool is read-only, and every figure comes with a link to the Slipstream page it came from.

This repository holds the server's public metadata and test prompts. The server itself is hosted; there is nothing to install or run.

  • Server URL: https://slipstream.rentals/api/ask/mcp (streamable HTTP)
  • Sign-in: OAuth with a Slipstream account (trial or paid). Co-host and manager accounts can connect; owner accounts can't yet.
  • Registry name: rentals.slipstream/slipstream (server.json)
  • Product page: https://slipstream.rentals/integrations/claude?ref=github

Add it

Claude: open Slipstream in Claude's connector directory and choose Connect. Or, in Claude, open Customize → Connectors → Add custom connector, and paste the server URL.

Claude Code:

claude mcp add --transport http slipstream https://slipstream.rentals/api/ask/mcp

Any MCP client that supports remote servers with OAuth sign-in can connect the same way. initialize and tools/list answer without a login, so you can see the tools first; every tools/call needs a signed-in account.

Tools

ToolWhat it reads
get_data_statusHow fresh the data is: when the last full sync with the PMS completed, and whether its bookings and reviews fetched cleanly.
list_propertiesThe properties this viewer can see, with their ids.
get_goalsThe host's goals: each goal's sentence, current reading, target and gap.
get_next_movesThe ranked list of moves that matter most now: money errors first, then open nights, then Top Priorities, then goals.
get_reservations_summaryBooked stays grouped by check-in month, by channel, or by property: count, nights, revenue and average lead time (days from booking to check-in), then cancelled bookings and their revenue over the same span and groups.
get_occupancyOccupancy for one or more calendar months, per property and for the portfolio: nights booked within those months (stays crossing a month's edge counted only for their nights inside it), nights in the period, and the open nights left.
get_open_nightsUnbooked nights right after a checkout in the next 14 days, per property, ranked by what they could earn (nights × recent nightly rate), with the minimum stay that limits selling them.
get_listing_settingsThe pricing and availability settings last read from the PMS for each property: base and weekend nightly price, minimum stay, preparation time, cleaning fee per channel, and settings changes in the last 90 days.
get_forecastExpected revenue for months from now on, with what is booked, what usually still comes in, the same month last year, the range, and how often that range held in past forecasts.
get_metricOne named metric for each property (or one property).
get_recipe_outputThe latest stored outputs of a docked recipe (Top Priorities, Booking Pace Sentinel, The Pricing Oracle, The Maintenance Prophet, Reviews Owed, Fee Gaps and the rest) for each property, with when each was computed and what data the recipe reads.
get_review_summaryReviews per property: share of eligible stays reviewed (with its 95% range and how it compares with the account), stays still owed a review, the rating trend, and the complaint group costing the most stars.
get_review_categoriesReviews by category per property (cleanliness, broken items, noise, check-in, Wi-Fi, value and the rest): the stars per rated review that guests' complaints about each category cost, how many reviews complain about it and how many praise it, plus the categories guests praise most.
get_listing_highlightsWhat one property offers that a listing title or description could lead with: bedrooms, guests it sleeps, property type and town; its most valuable amenities; amenities it has that the listing text never mentions or mentions only in passing; and what guests praise most in reviews.
get_money_checksMoney correctness per property: bookings missing a fee the property normally charges, double bookings and duplicate records, open owner incidents (refunds and over-limit charges), whether an owner split is set, and whether statements are on file for reconciliation.
get_owner_payoutsWhat owners earn.
get_cost_per_stayConsumables (supplies) and housekeeping cost per stay per property, from the owner statements on file: the latest month's figure over a trailing three months, the usual figure lately, whether the latest month is a spike against the property's own history, and the published range for comparison.
check_statement_monthOne month's owner statement against the bookings, per property: how many bookings the statement lists, statement lines for bookings the PMS doesn't have, that month's bookings missing from the statement, bookings whose rent differs between the two, and open guest refunds from that month and whether the statement carries them.
explain_valueHow a docked recipe computed one output for one property: each step in order, with its value and what it reads.
track_recordWhat has been checked against outcomes: each recipe's matured predictions and how many held, the changes this host logged with how each was scored, and the recipe forecasts being tracked against what happens.
open_draftOpen the repeat-guest offer for a property: past guests whose reviews said they'd return, matched to an email, with a draft offer the host edits and sends from the property page.
describe_recipeHow a docked recipe works, without running it: each step in order, what it does, the steps it reads from, and the stored fields and data sources it reads.
check_statement_against_bookingsCheck an owner statement the user pasted or attached (from a property manager or co-host) against this account's own bookings for that property.

What it never does

  • It can't change a listing, a price or a setting, and it can't send messages.
  • Guest names, emails and phone numbers are never returned.
  • Reads cost nothing in Slipstream credits.
  • Settings → Connected AI apps in Slipstream lists each connection, when it was last used and what it read, with a Disconnect button. Calls are logged for 90 days.

Test prompts

prompts.md is the set used to check that a model picks the right tool from these descriptions, including requests it should decline.

ChatGPT plugin package

openai-plugin/ is the package for OpenAI's Plugin directory: plugin.json (listing, review test cases), mcp.json (the one server) and the icons. To build the ZIP:

cd openai-plugin && zip -X -r ../dist/slipstream-openai-plugin-1.0.0.zip plugin.json mcp.json assets

mcp.json holds only the server URL: the Agent Plugins schema rejects anything else on an HTTP server, so OAuth is chosen in the portal. No credentials go in the package; reviewer sign-in is entered in the dashboard.

Contact

concierge@slipstream.rentals

问 PopNx