Integration
Connect Aura to Qdrant Vector Store
When New Call fires in Aura, 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 Aura 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Aura can start in Qdrant Vector Store
When New Call in Aura
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 Aura and Qdrant Vector Store
Triggers and actions 3 triggers · 51 actions
- New Call
Triggers when a new call is booked in Aura.
- New Lead
Triggers when a new lead is added in Aura.
- New Payment
Triggers when a new payment is recorded in Aura.
- Add Lead Note
Adds a note to an Aura lead.
- Archive Lead
Archives an Aura lead.
- Cancel Call
Cancels a booked Aura call.
- Create Lead
Creates a new lead in Aura.
- Get Call
Returns one Aura call by its ID.
- Get Call Analysis
Returns the AI analysis of an Aura call.
- Get Call Form Answers
Returns the booking-form answers submitted for an Aura call.
- Get Dashboard Analytics
Returns Aura's dashboard analytics.
- Get Lead
Returns one Aura lead by its ID.
- Get Opportunity
Returns one Aura opportunity by its ID.
- Get Payment
Returns one Aura payment by its ID.
- Get Product
Returns one Aura product by its ID.
- Get Revenue Analytics
Returns Aura revenue grouped by currency.
- Get Scheduler
Returns one Aura scheduler by its ID.
- Get Scheduler Availability
Returns the bookable time slots of an Aura scheduler.
- Get Scheduler Fields
Returns the booking-form fields of an Aura scheduler.
- Get Team Member
Returns one Aura team member by its ID.
- Get Team Performance
Returns a performance summary for the Aura team.
- List Calls
Returns a page of Aura calls, optionally filtered.
- List Lead Notes
Returns the notes on an Aura lead.
- List Leads
Returns a page of Aura leads, optionally filtered by status or pipeline stage.
- List Opportunities
Returns a page of Aura opportunities.
- List Payments
Returns a page of payments recorded in Aura.
- List Products
Returns the products in the Aura account.
- List Schedulers
Returns the schedulers (booking links) in the Aura account.
- List Team Members
Returns the team members in the Aura account.
- Qualify Lead
Checks whether a lead would qualify for a scheduler and returns the result.
- Reassign Call Closer
Moves a booked Aura call to a different closer.
- Record Payment
Records a payment in Aura.
- Reschedule Call
Moves a booked Aura call to a new time.
- Send Test Webhook
Sends a test event to an Aura webhook subscription and returns how its endpoint responded.
- Set Call Outcome
Records the outcome of an Aura call (for example won, lost or no-show).
- Update Call
Updates an existing Aura call.
- Update Lead
Updates an existing Aura lead's details.
- Update Payment
Updates a payment recorded in Aura.
- Verify Payment
Marks an Aura payment as verified.
- 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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More into Qdrant Vector Store
Questions
Aura and Qdrant Vector Store, answered
What can start an automation from Aura?
Any of Aura's 3 triggers in the catalog, including New Call, New Lead and New Payment. 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 Aura?
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 Aura?
Qdrant Vector Store has no triggers in the catalog today, so automations start in Aura. 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 Aura 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 Aura 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.