Integration
Connect Amazon SQS and Samply
When New JSON Message fires in Amazon SQS, your agent runs Add comment in Samply, or New player in Samply to Create JSON Message in Amazon SQS. 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 Amazon SQS and Samply 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 Amazon SQS and Samply can do together
From Amazon SQS to Samply
When New JSON Message in Amazon SQS
then Add comment in Samply
When New Message in Amazon SQS
then Add file in Samply
From Samply to Amazon SQS
When New player in Samply
then Create JSON Message in Amazon SQS
When New project in Samply
then Create Message in Amazon SQS
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 Amazon SQS and Samply
Triggers and actions 7 triggers · 16 actions
Trigger
New JSON MessageTriggers when a new message arrives in an Amazon SQS queue and passes on the JSON data in the message. Each message is removed from the queue once it is received.
Trigger
New MessageTriggers when a new message arrives in an Amazon SQS queue. Each message is removed from the queue once it is received.
Trigger
New QueueTriggers when a new queue is created in the connected Amazon SQS account.
Action
Create JSON MessageSends a message to an Amazon SQS queue whose body is JSON built from the data you map, such as a record from the trigger.
Action
Create MessageSends a text message to an Amazon SQS queue.
Action
Create QueueCreates a new Amazon SQS queue, or returns the existing one if a queue with the same name and settings already exists.
Trigger
New playerWebhook event player.created.
Trigger
New projectWebhook event project.created.
Trigger
Player updatedWebhook event player.updated.
Trigger
Project updatedWebhook event project.updated.
Action
Add comment/projects/:projectid/files/:fileid/comments. Body: message, parentid, completed, pinned, audioTimestamp, audioTimestampEnd. fileid must be a version, not a stack.
Action
Add file/projects/:projectid/files with name, mimeType, size, optional parentid; returns boxid and signed upload url, then PUT file bytes to url.
Action
Create FolderCreates a new folder in an existing Samply project
Action
Create PlayerCreates a new player in Samply
Action
Create ProjectCreates a project in Samply
Action
Get FileReturns a box object (file, folder or stack) by id within a project.
Action
Get PlayerReturns one player (link) by id.
Action
Get ProjectRetrieves a project from Samply
Action
List comments/projects/:projectid/files/:fileid/comments. Returns array of comment objects for a file.
Action
List Filesreturns an array of all box objects (files, folders, stacks) in a project; a file box (object: "file") id supplies the file_id Add comment needs. Read-only.
Action
List Projectsreturns an array of all projects the caller owns (id, name, files). Read-only; supplies a project_id for downstream ops.
Action
Update PlayerUpdates an existing player in your Samply library
Action
Update ProjectUpdates an existing project in your Samply account
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
Amazon SQS and Samply, answered
What can start an automation from Amazon SQS?
Any of Amazon SQS's 3 triggers in the catalog, including New JSON Message, New Message and New Queue. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Samply when something happens in Amazon SQS?
Any of Samply's 13 actions, including Create Folder, Create Player, Create Project and Update Player. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Samply to Amazon SQS?
Yes. When something happens in Samply, your agent can act in Amazon SQS too. This page covers both directions: Samply's triggers and Amazon SQS's actions are listed here as well.
Do I have to build a connector for Amazon SQS or Samply?
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 Amazon SQS and Samply 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.