Integration
Connect Azure DevOps to Didit
When Completed Build fires in Azure DevOps, your agent runs Add user in Didit. 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 Azure DevOps and Didit 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 Azure DevOps can start in Didit
When Completed Build in Azure DevOps
then Add user in Didit
When New Work Item in Azure DevOps
then Update user in Didit
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 Didit
Triggers and actions 5 triggers · 19 actions
Trigger
Code Push (Git)Triggers when commits are pushed to a Git repository in an Azure DevOps project.
Trigger
Completed BuildTriggers when a build finishes in an Azure DevOps project, with its result (succeeded, failed, partially succeeded or canceled).
Trigger
New Work ItemTriggers when a work item is created in an Azure DevOps project.
Trigger
New Work Item CommentTriggers when someone comments on a work item in an Azure DevOps project.
Trigger
Updated Work ItemTriggers 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 ItemAdds 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 ItemCreates a new work item (such as a Task, Bug, Issue or User Story) in an Azure DevOps project.
Action
Find Work ItemFinds 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 BuildQueues 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 ItemUpdates 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
Add businessCreate a Didit business (KYB) record.
Action
Add userCreate a Didit end-user record.
Action
Add webhook destinationRegister a webhook destination URL to receive Didit events.
Action
Create Verification SessionCreates a new Verification Session
Action
Delete verification sessionDelete a KYC or KYB verification session by id.
Action
Get businessRetrieve a Didit business record by vendor_data id.
Action
Get credit balanceRetrieve the account's remaining credit balance.
Action
Get userRetrieve a Didit end-user record by vendor_data id.
Action
List businessesList Didit business (KYB) records.
Action
List usersList Didit end-user records.
Action
List webhook destinationsList configured webhook destinations.
Action
Retrieve Verification SessionRetrieve a Verification Session
Action
Update businessUpdate a Didit business record.
Action
Update userUpdate a Didit end-user record.
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
Azure DevOps and Didit, 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 Didit when something happens in Azure DevOps?
Any of Didit's 14 actions, including Create Verification Session, Update business, Update user and Add business. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Didit to Azure DevOps?
Didit has no triggers in the catalog today, so automations start in Azure DevOps. If you need the other direction, ask: your agent reads Didit's API documentation and adds it.
Do I have to build a connector for Azure DevOps or Didit?
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 Didit 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.