--- title: "Connect Azure DevOps to Pipeless Recommendations - APIANT.ai" description: "When \"Completed Build\" fires in Azure DevOps, your agent runs \"Create Event\" in Pipeless Recommendations." canonical: "https://apiant.ai/connect/azure-devops-to-pipeless-recommendations" --- # Connect Azure DevOps to Pipeless Recommendations When **Completed Build** fires in [Azure DevOps](https://apiant.ai/connections/azure-devops), 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. Azure DevOps **5** triggers Azure DevOps **5** 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 Azure DevOps 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 Azure DevOps can start in Pipeless Recommendations - When **Completed Build** in Azure DevOps then **Create Event** in Pipeless Recommendations - When **New Work Item** in Azure DevOps 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 Azure DevOps and Pipeless Recommendations ## Triggers and actions 5 triggers · 13 actions - Trigger **Code Push (Git)** Triggers when commits are pushed to a Git repository in an Azure DevOps project. - Trigger **Completed Build** Triggers when a build finishes in an Azure DevOps project, with its result (succeeded, failed, partially succeeded or canceled). - Trigger **New Work Item** Triggers when a work item is created in an Azure DevOps project. - Trigger **New Work Item Comment** Triggers when someone comments on a work item in an Azure DevOps project. - Trigger **Updated Work Item** Triggers when a work item is updated in an Azure DevOps project, with the work item's current values and the list of fields that changed. - Action **Add Link to Work Item** Adds a link to an Azure DevOps work item: a related, parent, child, predecessor, successor or duplicate link to another work item, or a hyperlink to a web page. - Action **Create Work Item** Creates a new work item (such as a Task, Bug, Issue or User Story) in an Azure DevOps project. - Action **Find Work Item** Finds work items in an Azure DevOps project that match a Work Item Query Language (WIQL) query, returning the matching work item IDs, or the matching links for a link query. - Action **Trigger Build** Queues a new run of an Azure DevOps build pipeline, optionally for a specific branch or commit and with pipeline variables or parameters. - Action **Update Work Item** Updates an existing Azure DevOps work item: changes its title, description, state, assignee, area, iteration, priority or tags, and can add a discussion comment. Fields left blank are not changed. - 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 - [ **Azure DevOps** Azure DevOps is where teams manage, develop, and deliver software in the cloud.](https://apiant.ai/connections/azure-devops) - [ **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 Azure DevOps - [ **Azure DevOps to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/azure-devops-to-hubspot) - [ **Azure DevOps to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/azure-devops-to-salesforce) - [ **Azure DevOps to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/azure-devops-to-slack) - [ **Azure DevOps to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/azure-devops-to-google-sheets) - [ **Azure DevOps to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/azure-devops-to-gmail) - [ **Azure DevOps to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/azure-devops-to-google-calendar) ## 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 is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](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 ## Azure DevOps and Pipeless Recommendations, answered ### ### What can start an automation from Azure DevOps? Any of Azure DevOps's 5 triggers in the catalog, including Completed Build, New Work Item, New Work Item Comment and Updated Work Item. 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 Azure DevOps? 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 Azure DevOps? Pipeless Recommendations has no triggers in the catalog today, so automations start in Azure DevOps. 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 Azure DevOps 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 Azure DevOps 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.