--- title: "Connect Amazon SQS to Recommand - APIANT.ai" description: "When \"New JSON Message\" fires in Amazon SQS, your agent runs \"Add customer\" in Recommand." canonical: "https://apiant.ai/connect/amazon-sqs-to-recommand" --- # Connect Amazon SQS to Recommand When **New JSON Message** fires in [Amazon SQS](https://apiant.ai/connections/amazon-sqs), your agent runs **Add customer** in [Recommand](https://apiant.ai/connections/recommand). Describe the whole flow and it is built, tested on every scenario and kept running. Amazon SQS **3** triggers Amazon SQS **3** actions Recommand **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Amazon SQS and Recommand to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Amazon SQS can start in Recommand - When **New JSON Message** in Amazon SQS then **Add customer** in Recommand - When **New Message** in Amazon SQS then **List customers** in Recommand 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 Recommand ## Triggers and actions 3 triggers · 10 actions - Trigger **New JSON Message** Triggers 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 Message** Triggers when a new message arrives in an Amazon SQS queue. Each message is removed from the queue once it is received. - Trigger **New Queue** Triggers when a new queue is created in the connected Amazon SQS account. - Action **Create JSON Message** Sends 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 Message** Sends a text message to an Amazon SQS queue. - Action **Create Queue** Creates a new Amazon SQS queue, or returns the existing one if a queue with the same name and settings already exists. - Action **Add company** Create a company profile. - Action **Add customer** Create a customer record. - Action **Add supplier** Create a supplier record. - Action **List companies** List company profiles. - Action **List customers** List customer records. - Action **List suppliers** List supplier records. - Action **Verify recipient** Check a recipient is present on the Peppol network. ## Each app on its own - [ **Amazon SQS** Amazon Simple Queue Service is a simple but powerful services for generating and consuming messages.](https://apiant.ai/connections/amazon-sqs) - [ **Recommand** Recommand provides a developer-friendly Peppol API for creating, sending, receiving, and managing...](https://apiant.ai/connections/recommand) Reviews ## What our customers say ## More from Amazon SQS - [ **Amazon SQS to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-sqs-to-hubspot) - [ **Amazon SQS to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-sqs-to-salesforce) - [ **Amazon SQS to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-sqs-to-slack) - [ **Amazon SQS to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-sqs-to-google-sheets) - [ **Amazon SQS to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-sqs-to-gmail) - [ **Amazon SQS to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-sqs-to-google-calendar) ## More into Recommand - [ **HubSpot to Recommand** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-recommand) - [ **Salesforce to Recommand** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-recommand) - [ **Slack to Recommand** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-recommand) - [ **Google Sheets to Recommand** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-recommand) - [ **Gmail to Recommand** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-recommand) - [ **Google Calendar to Recommand** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-recommand) Questions ## Amazon SQS and Recommand, 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 Recommand when something happens in Amazon SQS? Any of Recommand's 7 actions, including Add company, Add customer, Add supplier and List companies. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Recommand to Amazon SQS? Recommand has no triggers in the catalog today, so automations start in Amazon SQS. If you need the other direction, ask: your agent reads Recommand's API documentation and adds it. ### ### Do I have to build a connector for Amazon SQS or Recommand? 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 Recommand 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.