Integration
Connect Reamaze to Qdrant Vector Store
When New Contact fires in Reamaze, 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 Reamaze 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 Reamaze can start in Qdrant Vector Store
When New Contact in Reamaze
then Add collection in Qdrant Vector Store
When New Contact in Reamaze
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 Reamaze and Qdrant Vector Store
Triggers and actions 1 trigger · 28 actions
Trigger
New ContactTriggered when a new contact is created in Re:amaze.
Action
Add Message to ConversationAdds a new message to an existing conversation.
Action
Create ContactCreates a new contact in Re:amaze from an email address or mobile number.
Action
Create ConversationCreate a new conversation on behalf of a user.
Action
Create SMS ContactCreates a Re:amaze contact identified by a mobile phone number, so they can be reached by SMS.
Action
Create SMS ConversationCreate a new SMS conversation on behalf of a user.
Action
Get ArticleRetrieve a single FAQ article by id.
Action
Get ContactLooks up a single Re:amaze contact by email address.
Action
Get ConversationRetrieve a single conversation by slug, including its messages.
Action
List ContactsLists contacts on the Re:amaze account, optionally searching by name or email, filtering by contact type, and sorting by creation date.
Action
List MessagesReturns messages from across all of your conversations, newest first. Narrow the results by sender type, tags, source, sender email, channel, or date range.
Action
Update ArticleUpdate an existing FAQ article's content or status.
Action
Update ContactUpdate an existing contact's fields (name, email, tags, etc).
Action
Update ConversationUpdate a conversation's status, category, tags, or assignee.
Action
Add collectionCreates a new Qdrant collection with the vector size, distance metric and storage settings you choose.
Action
Add payload indexCreates a payload index on a field of a Qdrant collection so filters and searches on that field run faster.
Action
Add pointsAdds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing points that have the same ids.
Action
Add snapshotCreates a new snapshot of a Qdrant collection and returns the snapshot's name, size, checksum and creation time.
Action
Count pointsReturns how many points in a Qdrant collection match an optional filter, or the total number of points when no filter is given.
Action
Delete collectionDeletes a collection and all of the points and data stored in it.
Action
Delete pointsDeletes points from a Qdrant collection, either by a list of point ids or by every point matching a filter.
Action
Find points by vectorReturns the points in a collection whose vectors are nearest to the vector you supply, ranked by similarity score, with their payloads.
Action
Get collectionReturns the details of a collection: its status, point and segment counts, vector and index configuration, and payload schema.
Action
Get pointReturns a single point from a Qdrant collection by its id, including its payload and vector.
Action
List collectionsReturns the names of every collection in your Qdrant instance.
Action
List pointsReturns the points stored in a Qdrant collection, optionally narrowed by a filter and ordered by a payload field, fetching every page.
Action
List snapshotsReturns every snapshot taken of a collection, with each snapshot's name, size, checksum and creation time.
Action
Update collectionUpdates the settings of an existing Qdrant collection, such as its vector, index, optimizer, quantization, strict-mode or metadata parameters.
Action
Update point payloadSets 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
Reviews
What our customers say
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Questions
Reamaze and Qdrant Vector Store, answered
What can start an automation from Reamaze?
Any of Reamaze's 1 trigger in the catalog, including New 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 Reamaze?
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 Reamaze?
Qdrant Vector Store has no triggers in the catalog today, so automations start in Reamaze. 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 Reamaze 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 Reamaze 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.