Integration
Connect GoHighLevel to Qdrant Vector Store
When New or updated contact fires in GoHighLevel, your agent runs Add collection in Qdrant Vector Store. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want GoHighLevel and Qdrant Vector Store to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What GoHighLevel can start in Qdrant Vector Store
When New or updated contact in GoHighLevel
then Add collection 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 GoHighLevel and Qdrant Vector Store
Triggers and actions 1 trigger · 44 actions
- New or updated contact
Triggered when a contact is created or updated in your HighLevel sub-account.
- Create appointment
Book a new calendar appointment.
- Create note
Add a note to a contact.
- Create opportunity
Creates a new opportunity for a contact in a pipeline. Unlike Upsert opportunity it never updates an existing one; whether HighLevel allows a second opportunity for the same contact in the same pipeline depends on the sub-account's duplicate-opportunity setting.
- Create task
Create a task on a contact.
- Delete appointment
Cancel/delete a calendar event or appointment.
- Delete contact
Delete a contact.
- Delete note
Delete a note from a contact.
- Delete task
Delete a task from a contact.
- Find contacts
Search contacts by name, email, phone, or other criteria.
- Find conversations
Search conversations by contact or other criteria.
- Find opportunities
Search opportunities by pipeline, stage, contact, or other criteria.
- Get appointment
Retrieve a single calendar appointment by ID.
- Get calendar
Retrieve a single calendar's configuration by ID.
- Get contact
Retrieve a single contact by ID.
- Get conversation
Retrieve a single conversation by ID.
- Get note
Retrieve a single note on a contact.
- Get opportunity
Retrieve a single opportunity by ID.
- List calendar events
List calendar events within a date range.
- List calendars
List all calendars for the location.
- List notes
List all notes on a contact.
- List tasks
List all tasks on a contact.
- Remove tags from contact
Remove one or more tags from a contact.
- Send a message
Send an SMS, email, or other conversation message to a contact.
- Update appointment
Update an existing calendar appointment.
- Update contact
Update an existing contact's fields.
- Update note
Update an existing note on a contact.
- Update task
Update an existing task on a contact.
- Upsert contact
Create a contact or update it if a matching contact already exists.
- Upsert opportunity
Create an opportunity or update it if a matching one already exists.
- Add collection
Creates a new Qdrant collection with the vector size, distance metric and storage settings you choose.
- Add payload index
Creates a payload index on a field of a Qdrant collection so filters and searches on that field run faster.
- Add points
Adds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids.
- Add snapshot
Creates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time.
- 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.
- Delete collection
Deletes a collection and all of the points and data stored in it.
- Delete points
Deletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter.
- 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.
- Get collection
Returns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema.
- Get point
Returns a single point from a Qdrant collection by its id, including its payload and vector.
- List collections
Returns the names of every collection in your Qdrant instance.
- List points
Returns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page.
- List snapshots
Returns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time.
- Update collection
Updates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters.
- 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.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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Questions
GoHighLevel and Qdrant Vector Store, answered
What can start an automation from GoHighLevel?
Any of GoHighLevel's 1 trigger in the catalog, including New or updated contact. 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 GoHighLevel?
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 GoHighLevel?
Qdrant Vector Store has no triggers in the catalog today, so automations start in GoHighLevel. 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 GoHighLevel 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 GoHighLevel 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.