Integration
Connect Azure DevOps to Olostep
When Completed Build fires in Azure DevOps, your agent runs Create Crawl in Olostep. 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 Olostep 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 Olostep
When Completed Build in Azure DevOps
then Create Crawl in Olostep
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 Olostep
Triggers and actions 5 triggers · 13 actions
- Code Push (Git)
Triggers when commits are pushed to a Git repository in an Azure DevOps project.
- Completed Build
Triggers when a build finishes in an Azure DevOps project, with its result (succeeded, failed, partially succeeded or canceled).
- New Work Item
Triggers when a work item is created in an Azure DevOps project.
- New Work Item Comment
Triggers when someone comments on a work item in an Azure DevOps project.
- 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.
- 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.
- Create Work Item
Creates a new work item (such as a Task, Bug, Issue or User Story) in an Azure DevOps project.
- 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.
- 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.
- 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.
- Ask AI Answer
Asks Olostep's AI to answer a question or perform a research task by searching and browsing live web pages, returning the answer and its sources.
- Batch Scrape URLs
Starts a new Olostep batch that scrapes a list of URLs in parallel. Returns the batch id and status; results are fetched later once the batch completes.
- Create Crawl
Starts a new Olostep crawl of a website and returns the crawl id to track progress.
- Create Map
Discovers the URLs on a website. Can take up to 120 seconds for complex sites.
- Get map
Retrieve a previously completed map (the list of URLs found on a website) by its ID.
- Get scrape
Retrieves the result of a previously created scrape by its id.
- Scrape Website
Scrapes a web page and returns its content in the formats you choose (Markdown, HTML, text, structured JSON or a screenshot).
- Search web
Searches the web with a natural-language query and returns a deduplicated list of relevant links with titles and descriptions.
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 Olostep, 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 Olostep when something happens in Azure DevOps?
Any of Olostep's 8 actions, including Create Crawl, Create Map, Ask AI Answer and Batch Scrape URLs. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Olostep to Azure DevOps?
Olostep has no triggers in the catalog today, so automations start in Azure DevOps. If you need the other direction, ask: your agent reads Olostep's API documentation and adds it.
Do I have to build a connector for Azure DevOps or Olostep?
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 Olostep 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.