Integration
Connect Azure DevOps and Pipefy
When Completed Build fires in Azure DevOps, your agent runs Create Record in Pipefy, or Moved Card in Pipefy to Add Link to Work Item in Azure DevOps. 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 Pipefy 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 and Pipefy can do together
From Azure DevOps to Pipefy
When Completed Build in Azure DevOps
then Create Record in Pipefy
From Pipefy to 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 Pipefy
Triggers and actions 11 triggers · 16 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.
- Done Card
Triggers when a card is done.
- Moved Card
Triggers when a card is moved.
- New Card
Triggers when a new card is created.
- New Database Record
Triggers when a new record is created.
- Updated Card Field
Triggers when a card field is updated.
- Updated Record Field
Triggers when a record field is updated.
- Create Card
Creates a card in a Pipefy pipe, filling in its start form fields.
- Create Record
Creates a new table record.
- Delete Card
Permanently deletes a card from its pipe.
- Delete Database Record
Delete a database table record by ID via the GraphQL `deleteTableRecord(input: {id})` mutation.
- Find Card
Returns the cards in a pipe whose chosen field matches the specified value.
- Find Database Records
Find a database records by title.
- Get Card
Retrieves a single Pipefy card by its id, including its phase, pipe, assignees, labels, attachments and field values.
- Get Database Record
Fetch a single database table record by ID via the GraphQL `table_record(id: ID)` query.
- Move Card
Moves a Pipefy card to another phase of its pipe.
- Update Card Field
Sets a new value on one field of an existing Pipefy card.
- Update Database Record
Update a database table record's title/fields via the GraphQL `updateTableRecord(input: {id, title})` mutation.
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 Pipefy, 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 Pipefy when something happens in Azure DevOps?
Any of Pipefy's 11 actions, including Create Card, Create Record, Update Card Field and Update Database Record. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipefy to Azure DevOps?
Yes. When something happens in Pipefy, your agent can act in Azure DevOps too. This page covers both directions: Pipefy's triggers and Azure DevOps's actions are listed here as well.
Do I have to build a connector for Azure DevOps or Pipefy?
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 Pipefy 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.