Integration
Connect Evoliz to Qdrant
When New Account fires in Evoliz, your agent runs Add collection in Qdrant. 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 Evoliz and Qdrant 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 Evoliz can start in Qdrant
When New Account in Evoliz
then Add collection in Qdrant
When New Article in Evoliz
then Add payload index in Qdrant
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 Evoliz and Qdrant
Triggers and actions 5 triggers · 38 actions
Trigger
New AccountTriggered when a new accounting account is created in Evoliz.
Trigger
New ArticleTriggered when a new article is created in your Evoliz catalog.
Trigger
New ClientTriggered when a new client is created
Trigger
New Client ContactTriggered when a new client contact is created.
Trigger
New EventTriggered when a new event (a document or contact being created, updated, sent, accepted, invoiced, deleted and so on) is recorded in Evoliz.
Action
Create AccountCreates a new accounting account (accounting classification) in Evoliz.
Action
Create ArticleCreates a Article
Action
Create ClientCreates a Client
Action
Create Contact ClientCreates a Contact Client
Action
Create Contact ProspectCreates a new contact attached to an existing prospect in Evoliz.
Action
Create ExpenseCreates a purchase (expense) in Evoliz for a supplier, with its total and one or more classified amount lines.
Action
Create InvoiceCreates a new draft invoice in Evoliz for a client. Totals, margins and VAT are calculated by Evoliz.
Action
Create ProspectCreates a Prospect
Action
Create QuoteCreates a Quote
Action
Create Sale OrderCreate a new draft sale order for a client in Evoliz. Totals, margins and VAT-inclusive amounts are calculated by Evoliz.
Action
Find ArticleFinds an Article
Action
Find ClientReturns up to 100 clients that match the search text; the first match is also returned on its own.
Action
Find Contact ClientReturns up to 100 client contacts that match the specified search text, email, or client.
Action
Find SupplierFinds a Supplier
Action
Find UserFinds users of your Evoliz company whose details match the search text.
Action
Get Contact ProspectReturns one Evoliz prospect contact by its ID, with the contact's name, email, phone numbers, consent and the prospect it belongs to.
Action
Get ExpenseReturns one Evoliz purchase (expense) by its ID, with its supplier, label, dates, totals, status and amount lines.
Action
Get ProspectReturns one Evoliz prospect by its ID, with its name, type, address, phone numbers and business identifiers.
Action
Invoice QuoteCreates a complete invoice from an existing Evoliz quote (full invoicing of the quote).
Action
Invoice Sale OrderCreate a new invoice from an existing Evoliz sale order.
Action
Send QuoteEmails a quote to one or more recipients with a link to the document (and optionally the PDF attached).
Action
Update ArticleUpdates an existing article in the Evoliz catalog. Only the fields you fill in are changed.
Action
Update ClientUpdates an existing client. Replaces only data that is set.
Action
Add collectionCreates a new Qdrant collection with the given name and vector configuration.
Action
Add payload indexCreates a payload index on a field of a Qdrant collection so that filters on that field run fast.
Action
Add pointsAdds points (vectors with optional payloads) to a Qdrant collection, overwriting any existing point with the same id.
Action
Add snapshotCreates a new snapshot of a Qdrant collection and returns the snapshot's name, size and checksum.
Action
Count pointsReturns the number of points in a Qdrant collection, optionally only those matching a payload filter.
Action
Delete collectionDeletes a Qdrant 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 closest to the vector you supply, ranked by similarity score, with their payloads.
Action
Get collectionReturns the details of a Qdrant collection: its status, point and vector counts, segment count, configuration and payload index schema.
Action
Get pointReturns a single point from a Qdrant collection, including its payload and vector.
Action
List collectionsReturns the names of all collections in your Qdrant cluster.
Action
List pointsReturns the points stored in a Qdrant collection, optionally narrowed by a payload filter and ordered by a payload field.
Action
List snapshotsReturns every snapshot stored for a Qdrant collection, with each snapshot's file name, creation time, size and checksum.
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 points in a Qdrant collection, chosen by point ids or a filter. Keys you supply are added or overwritten; other existing payload keys are kept.
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
Evoliz and Qdrant, answered
What can start an automation from Evoliz?
Any of Evoliz's 5 triggers in the catalog, including New Account, New Article, New Client and New Client Contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Qdrant when something happens in Evoliz?
Any of Qdrant'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 to Evoliz?
Qdrant has no triggers in the catalog today, so automations start in Evoliz. If you need the other direction, ask: your agent reads Qdrant's API documentation and adds it.
Do I have to build a connector for Evoliz or Qdrant?
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 Evoliz and Qdrant 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.