Integration
Connect Returnless to Azure AI Search Vector Store
When Request Created fires in Returnless, your agent runs Upload Documents in Azure AI Search 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 Returnless and Azure AI Search 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 Returnless can start in Azure AI Search Vector Store
When Request Created in Returnless
then Upload Documents in Azure AI Search 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 Returnless and Azure AI Search Vector Store
Triggers and actions 2 triggers · 23 actions
- Request Created
Triggers when a customer creates a new return request that needs approval.
- Return Created
Triggers when a new return is created, including a request once it is approved.
- Add note
Adds an internal note to a return or return request.
- Add Request
Creates a return request in Returnless for items from an existing sales order.
- Approve a Request
Approves a return request in Returnless so the customer can send the items back.
- Approve a Request Without Shipment
Approves a pending return request without a return shipment, so the customer keeps the items.
- Find customers
Returns the customers in your Returnless account that match an email address.
- Find products
Returns the products in your Returnless account that match a SKU.
- Find Requests
Finds a Request in your Returnless account.
- Find Returns
Finds returns (return orders) in Returnless by return number.
- Find sales orders
Finds sales orders in Returnless by order number.
- Get customer
Returns a single Returnless customer by its id.
- Get Request (By Request ID)
Returns a single return request (return order) from Returnless by its ID.
- Get Return (By Return ID)
Returns a single return in Returnless, with all of its details, by its return ID.
- Get sales order
Returns a single sales order by its ID, including its customer, address and order details.
- List return reasons
Returns the return reasons configured in your Returnless account.
- Reject Request
Rejects a pending return request in Returnless.
- Update return
Changes the status of a return, such as Checked, Approved or Resolved.
- Create Index
Creates a search index with the fields you define, including vector fields for similarity search.
- Delete Index
Deletes a search index and every document in it.
- Get Document
Returns one document from a search index by its key.
- Get Index
Returns a search index's definition: its fields, vector search and semantic settings.
- List Indexes
Returns the search indexes in your Azure AI Search service.
- Search Documents
Searches a search index by keywords, filter and/or vector similarity and returns the matching documents with their scores.
- Upload Documents
Adds documents to a search index, replacing any existing document with the same key.
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
Returnless and Azure AI Search Vector Store, answered
What can start an automation from Returnless?
Any of Returnless's 2 triggers in the catalog, including Request Created and Return Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure AI Search Vector Store when something happens in Returnless?
Any of Azure AI Search Vector Store's 7 actions, including Create Index, Upload Documents, Get Document and Get Index. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure AI Search Vector Store to Returnless?
Azure AI Search Vector Store has no triggers in the catalog today, so automations start in Returnless. If you need the other direction, ask: your agent reads Azure AI Search Vector Store's API documentation and adds it.
Do I have to build a connector for Returnless or Azure AI Search 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 Returnless and Azure AI Search 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.