--- title: "Connect Azure DevOps and Groundhogg - APIANT.ai" description: "When \"Completed Build\" fires in Azure DevOps, your agent runs \"Add Tags to Contact\" in Groundhogg." canonical: "https://apiant.ai/connect/azure-devops-to-groundhogg" --- # Connect Azure DevOps and Groundhogg When **Completed Build** fires in [Azure DevOps](https://apiant.ai/connections/azure-devops), your agent runs **Add Tags to Contact** in [Groundhogg](https://apiant.ai/connections/groundhogg), or **New Contact** in Groundhogg to **Add Link to Work Item** in Azure DevOps. Describe the whole flow and it is built, tested on every scenario and kept running. Azure DevOps **5** triggers Azure DevOps **5** actions Groundhogg **2** triggers Groundhogg **11** 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 Groundhogg 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 and Groundhogg can do together ### From Azure DevOps to Groundhogg - When **Completed Build** in Azure DevOps then **Add Tags to Contact** in Groundhogg - When **New Work Item** in Azure DevOps then **Create Contact** in Groundhogg ### From Groundhogg to Azure DevOps - When **New Contact** in Groundhogg then **Add Link to Work Item** in Azure DevOps - When **New Note** in Groundhogg then **Create Work Item** in Azure DevOps 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 Groundhogg ## Triggers and actions 7 triggers · 16 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. - Trigger **New Contact** Triggers when a new contact is added to Groundhogg. - Trigger **New Note** Triggers when a new note is added in Groundhogg. - Action **Add Tags to Contact** Applies one or more tags to a Groundhogg contact, by tag ID or name. - Action **Create Contact** Creates a new contact in Groundhogg with an email address, name, opt-in status, owner, custom fields and tags. - Action **Create Note** Adds a note to a Groundhogg contact's record. - Action **Create Tag** Creates a new tag in Groundhogg. - Action **Delete Contact** Permanently deletes a contact from Groundhogg. - Action **Find Contacts** Finds Groundhogg contacts whose email or name matches the search text and returns the matching contact records. - Action **Get Contact** Returns a single Groundhogg contact by its ID, including its details, custom fields and tags. - Action **List Tags** Returns the tags defined in your Groundhogg site. - Action **Remove Tags from Contact** Removes one or more tags from a Groundhogg contact. - Action **Send Email to Contact** Sends one of your Groundhogg emails to a contact. - Action **Update Contact** Updates an existing Groundhogg contact's details, custom fields and tags. ## 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) - [ **Groundhogg** CRM and email marketing automation plugin for WordPress, with contact management, segmentation, and campaign...](https://apiant.ai/connections/groundhogg) 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 Groundhogg - [ **Google Sheets to Groundhogg** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-groundhogg) - [ **Gmail to Groundhogg** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-groundhogg) - [ **Google Calendar to Groundhogg** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-groundhogg) - [ **Google Drive to Groundhogg** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-groundhogg) - [ **ActiveCampaign to Groundhogg** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-groundhogg) - [ **Airtable to Groundhogg** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-groundhogg) Questions ## Azure DevOps and Groundhogg, 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 Groundhogg when something happens in Azure DevOps? Any of Groundhogg's 11 actions, including Create Contact, Create Note, Create Tag and Send Email to Contact. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Groundhogg to Azure DevOps? Yes. When something happens in Groundhogg, your agent can act in Azure DevOps too. This page covers both directions: Groundhogg's triggers and Azure DevOps's actions are listed here as well. ### ### Do I have to build a connector for Azure DevOps or Groundhogg? 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 Groundhogg 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.