--- title: "Connect SQL Server to Pipeless Recommendations - APIANT.ai" description: "When \"New or Updated Row\" fires in SQL Server, your agent runs \"Create Event\" in Pipeless Recommendations." canonical: "https://apiant.ai/connect/sql-server-to-pipeless-recommendations" --- # Connect SQL Server to Pipeless Recommendations When **New or Updated Row** fires in [SQL Server](https://apiant.ai/connections/sql-server), your agent runs **Create Event** in [Pipeless Recommendations](https://apiant.ai/connections/pipeless-recommendations). Describe the whole flow and it is built, tested on every scenario and kept running. SQL Server **4** triggers SQL Server **7** actions Pipeless Recommendations **8** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want SQL Server and Pipeless Recommendations 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 SQL Server can start in Pipeless Recommendations - When **New or Updated Row** in SQL Server then **Create Event** in Pipeless Recommendations - When **New Row** in SQL Server then **Create Events (With Line Item Support)** in Pipeless Recommendations 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 SQL Server and Pipeless Recommendations ## Triggers and actions 4 triggers · 15 actions - Trigger **New or Updated Row** Triggers when a new row is added or modified. - Trigger **New or Updated Row (Custom Query)** Fires for each new or changed row returned by a SELECT statement you write against the connected SQL Server database. - Trigger **New Row** Triggers when you add a new row. - Trigger **New Table** Fires when a new table appears in the connected SQL Server database. - Action **Add Row** Add one row to a table on the connected SQL Server database. - Action **Delete Row** Delete the rows in a table whose chosen column equals a value. - Action **Find Row** Find the first row in a table whose chosen column matches a value. - Action **Find Rows via Custom Query** Runs a SELECT statement you write against the connected SQL Server database and returns every row it matches. - Action **Find Row via Custom Query** Runs a SELECT statement you write against the connected SQL Server database and returns the first row it matches. - Action **Run Custom Statement** Runs a statement you write against the connected SQL Server database that changes data rather than returning rows, and reports how many rows it changed. - Action **Update Row** Change column values on every row of a table whose chosen column matches a value. - Action **Create Event** Creates a single event linking a start object to an end object through a relationship (for example, a user who liked a post) in your Pipeless app. - Action **Create Events (With Line Item Support)** Creates up to 10 events in one call, such as several line items a user purchased. - Action **Delete event** Deletes the event(s) matching a start object, relationship type and end object. - Action **Delete object** Deletes an object and all the relationships and events connected to it. - Action **Get Activity on Object** Returns the activity that has taken place on an object, such as who followed or liked it. - Action **Get object** Returns basic info (type, created and modified dates) for a single Pipeless object. - Action **List recent events** Returns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app. - Action **Update object** Updates an existing Pipeless object's id or its created/modified timestamps. ## Each app on its own - [ **SQL Server** Connect directly to a Microsoft SQL Server database and run SQL statements from your automations.](https://apiant.ai/connections/sql-server) - [ **Pipeless Recommendations** Power real-time personalized recommendations and activity feeds using a simple API.](https://apiant.ai/connections/pipeless-recommendations) Reviews ## What our customers say ## More from SQL Server - [ **SQL Server to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/sql-server-to-stripe) - [ **SQL Server to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/sql-server-to-trello) - [ **SQL Server to JIRA** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/sql-server-to-jira) - [ **SQL Server to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/sql-server-to-zoom) - [ **SQL Server to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/sql-server-to-typeform) - [ **SQL Server to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/sql-server-to-webflow) ## More into Pipeless Recommendations - [ **HubSpot to Pipeless Recommendations** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pipeless-recommendations) - [ **Salesforce to Pipeless Recommendations** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-pipeless-recommendations) - [ **Slack to Pipeless Recommendations** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-pipeless-recommendations) - [ **Google Sheets to Pipeless Recommendations** Google Sheets](https://apiant.ai/connect/google-sheets-to-pipeless-recommendations) - [ **Gmail to Pipeless Recommendations** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pipeless-recommendations) - [ **Google Calendar to Pipeless Recommendations** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pipeless-recommendations) Questions ## SQL Server and Pipeless Recommendations, answered ### ### What can start an automation from SQL Server? Any of SQL Server's 4 triggers in the catalog, including New or Updated Row, New or Updated Row (Custom Query), New Row and New Table. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Pipeless Recommendations when something happens in SQL Server? Any of Pipeless Recommendations's 8 actions, including Create Event, Create Events (With Line Item Support), Update object and Get Activity on Object. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Pipeless Recommendations to SQL Server? Pipeless Recommendations has no triggers in the catalog today, so automations start in SQL Server. If you need the other direction, ask: your agent reads Pipeless Recommendations's API documentation and adds it. ### ### Do I have to build a connector for SQL Server or Pipeless Recommendations? 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 SQL Server and Pipeless Recommendations 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.