---
title: "Connect Waitwhile to Qdrant Vector Store - APIANT.ai"
description: "When \"New customer\" fires in Waitwhile, your agent runs \"Add collection\" in Qdrant Vector Store."
canonical: "https://apiant.ai/connect/waitwhile-to-qdrant-vector-store"
---

# Connect Waitwhile to Qdrant Vector Store

When **New customer** fires in [Waitwhile](https://apiant.ai/connections/waitwhile), your agent runs **Add collection** in [Qdrant Vector Store](https://apiant.ai/connections/qdrant-vector-store). Describe the whole flow and it is built, tested on every scenario and kept running.

Waitwhile **1** trigger Waitwhile **19** actions Qdrant Vector Store **15** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Waitwhile and Qdrant Vector Store to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Waitwhile can start in Qdrant Vector Store

- When **New customer** in Waitwhile then **Add collection** in Qdrant Vector Store
- When **New customer** in Waitwhile then **Add payload index** in Qdrant Vector Store

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Waitwhile and Qdrant Vector Store

## Triggers and actions 1 trigger · 34 actions

- Trigger

**New customer**

Triggered when a new customer is created in Waitwhile.

- Action

**Add customer note**

Adds a note entry to a Waitwhile customer, optionally tied to a location or visit.

- Action

**Add location**

Creates a new Waitwhile location, optionally copying users, resources, services, data fields and labels from an existing location, and returns the new location record.

- Action

**Add resource**

Creates a resource, such as a staff member or room, at one or more Waitwhile locations and returns the new resource.

- Action

**Add service**

Creates a new service in Waitwhile and makes it available at the locations you choose. Returns the service that was created.

- Action

**Create Customer**

Creates a customer in Waitwhile from their name and contact details, and returns the new customer record.

- Action

**Create or Update a Visit**

Creates a new visit at a Waitwhile location, or updates an existing visit when its id is supplied, and returns the resulting visit.

- Action

**Delete a Visit**

Deletes a visit by its ID.

- Action

**Delete customer**

Deletes a Waitwhile customer by ID.

- Action

**Fetch Customer**

Returns one Waitwhile customer by id, including contact details, tags, locations, last visit information and metadata.

- Action

**Fetch Location**

Returns a single Waitwhile location, with its address, hours, contact details and settings, by its id or short name.

- Action

**Fetch Resource**

Returns one Waitwhile resource, such as a staff member or room, with its availability settings, locations and supported services.

- Action

**Fetch Service**

Returns one Waitwhile service with its name, price, duration, availability settings, hours and locations.

- Action

**Fetch Visit**

Returns a single Waitwhile visit by its id, including the customer's details, its state, timing and any custom data fields.

- Action

**Find User**

Returns up to 100 Waitwhile users whose email address starts with the text you provide.

- Action

**Find visits by criteria**

Returns the visits that match the criteria you specify, such as location, state, tag, customer, service, resource or date range.

- Action

**List booking slots**

Returns the booking slots for a location within a date range, with the capacity, booked spots and available spots of each slot.

- Action

**Search for Customer**

Returns the customers whose name, phone, email or customer identifier starts with the search text, optionally narrowed by location, visit state, tag or date range.

- Action

**Search for User**

Returns the Waitwhile users whose email address starts with the text you provide, up to 100 users.

- Action

**Update customer**

Updates an existing Waitwhile customer's name, contact details, tags, locations or metadata, and returns the updated customer.

- Action

**Add collection**

Creates a new Qdrant collection with the vector size, distance metric and storage settings you choose.

- Action

**Add payload index**

Creates a payload index on a field of a Qdrant collection so filters and searches on that field run faster.

- Action

**Add points**

Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids.

- Action

**Add snapshot**

Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time.

- Action

**Count points**

Returns how many points in a Qdrant collection match an optional filter, or the total number of points when no filter is given.

- Action

**Delete collection**

Deletes a collection and all of the points and data stored in it.

- Action

**Delete points**

Deletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter.

- Action

**Find points by vector**

Returns the points in a collection whose vectors are nearest to the vector you supply, ranked by similarity score, with their payloads.

- Action

**Get collection**

Returns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema.

- Action

**Get point**

Returns a single point from a Qdrant collection by its id, including its payload and vector.

- Action

**List collections**

Returns the names of every collection in your Qdrant instance.

- Action

**List points**

Returns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page.

- Action

**List snapshots**

Returns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time.

- Action

**Update collection**

Updates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters.

- Action

**Update point payload**

Sets payload values on the chosen points in a Qdrant collection, merging them into each point's existing payload. Pick the points by id or by a filter.

## Each app on its own

- [ **Waitwhile** Waitwhile is a leading waitlist and scheduling service that helps you improve your lines and create a...](https://apiant.ai/connections/waitwhile)
- [ **Qdrant Vector Store** Vector database for storing embeddings and running similarity search with metadata filtering, via REST or...](https://apiant.ai/connections/qdrant-vector-store)

Reviews

## What our customers say

## More from Waitwhile

- [ **Waitwhile to Galileo** Galileo is a tool that turns text into beautiful UI designs instantly with Galileo AI—fast, smart, and ready...](https://apiant.ai/connect/waitwhile-to-galileo)
- [ **Waitwhile to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/waitwhile-to-zoom)
- [ **Waitwhile to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/waitwhile-to-webflow)
- [ **Waitwhile to Wix** The Wix website builder gives businesses of any size the tools to create, manage and grow a fully integrated...](https://apiant.ai/connect/waitwhile-to-wix)
- [ **Waitwhile to LinkedIn** LinkedIn is a professional networking platform enabling job seekers, companies, and thought leaders to...](https://apiant.ai/connect/waitwhile-to-linkedin)
- [ **Waitwhile to Facebook** Facebook is a social media and advertising platform used by individuals and businesses to connect, share...](https://apiant.ai/connect/waitwhile-to-facebook)

## More into Qdrant Vector Store

- [ **HubSpot to Qdrant Vector Store** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-qdrant-vector-store)
- [ **Salesforce to Qdrant Vector Store** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-qdrant-vector-store)
- [ **Slack to Qdrant Vector Store** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-qdrant-vector-store)
- [ **Google Sheets to Qdrant Vector Store** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-qdrant-vector-store)
- [ **Gmail to Qdrant Vector Store** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-qdrant-vector-store)
- [ **Google Calendar to Qdrant Vector Store** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-qdrant-vector-store)

Questions

## Waitwhile and Qdrant Vector Store, answered

###

### What can start an automation from Waitwhile?

Any of Waitwhile's 1 trigger in the catalog, including New customer. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Qdrant Vector Store when something happens in Waitwhile?

Any of Qdrant Vector Store's 15 actions, including Update collection, Update point payload, Add collection and Add payload index. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Qdrant Vector Store to Waitwhile?

Qdrant Vector Store has no triggers in the catalog today, so automations start in Waitwhile. If you need the other direction, ask: your agent reads Qdrant Vector Store's API documentation and adds it.

###

### Do I have to build a connector for Waitwhile or Qdrant Vector Store?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### Can my AI client use Waitwhile and Qdrant Vector Store without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
