Slipstream: short term rental analytics

Name: Slipstream: short term rental analytics
Author: KevinCain

by KevinCainversion 1.0.1i★ –iRuns in the cloud

Registry namerentals.slipstream/slipstream

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://slipstream.rentals/api/ask/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://slipstream.rentals/api/ask/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain slipstream.rentals (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 298 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

More stars than 0% of the other 2985 servers in this category
Published to the registry more recently than 81% of the other 2985 servers in this category
Basic checks equal to or better than 100% of the other 2985 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Slipstream: short term rental analytics safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Tool	What it reads
`get_data_status`	How fresh the data is: when the last full sync with the PMS completed, and whether its bookings and reviews fetched cleanly.
`list_properties`	The properties this viewer can see, with their ids.
`get_goals`	The host's goals: each goal's sentence, current reading, target and gap.
`get_next_moves`	The ranked list of moves that matter most now: money errors first, then open nights, then Top Priorities, then goals.
`get_reservations_summary`	Booked 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_occupancy`	Occupancy 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_nights`	Unbooked 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_settings`	The 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_forecast`	Expected 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_metric`	One named metric for each property (or one property).
`get_recipe_output`	The 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_summary`	Reviews 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_categories`	Reviews 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_highlights`	What 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_checks`	Money 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_payouts`	What owners earn.
`get_cost_per_stay`	Consumables (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_month`	One 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_value`	How a docked recipe computed one output for one property: each step in order, with its value and what it reads.
`track_record`	What 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_draft`	Open 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_recipe`	How 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_bookings`	Check 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

Slipstream: short term rental analytics

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

Slipstream MCP server

Add it

Tools

What it never does

Test prompts

ChatGPT plugin package

Contact