Integration
Connect KanbanFlow to Pipeless Recommendations
When New Board Event fires in KanbanFlow, your agent runs Create Event in Pipeless Recommendations. 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 KanbanFlow and Pipeless Recommendations 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 KanbanFlow can start in Pipeless Recommendations
When New Board Event in KanbanFlow
then Create Event in Pipeless Recommendations
When New Task in KanbanFlow
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 KanbanFlow and Pipeless Recommendations
Triggers and actions 2 triggers · 19 actions
Trigger
New Board EventTriggers when something changes on the board, such as a task being created, changed, moved or deleted.
Trigger
New TaskTriggers when a new task appears in a column of the board.
Action
Add CommentAdds a comment to a task.
Action
Add LabelAdds a label to a task.
Action
Create SubtaskAdds a subtask to the end of a task's checklist.
Action
Create TaskCreates a new task in a column of the board.
Action
Delete TaskDeletes a task from the board.
Action
Get BoardReturns the board your token belongs to, with its columns, swimlanes and colors.
Action
Get TaskReturns one task by its ID.
Action
List CommentsReturns all comments on a task.
Action
List MembersReturns the people who are members of the board.
Action
Search TasksFinds tasks on the board whose name or description matches your search text, most relevant first.
Action
Update TaskUpdates an existing task; only the fields you supply change.
Action
Create EventCreates 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 eventDeletes the event(s) matching a start object, relationship type and end object.
Action
Delete objectDeletes an object and all the relationships and events connected to it.
Action
Get Activity on ObjectReturns the activity that has taken place on an object, such as who followed or liked it.
Action
Get objectReturns basic info (type, created and modified dates) for a single Pipeless object.
Action
List recent eventsReturns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app.
Action
Update objectUpdates an existing Pipeless object's id or its created/modified timestamps.
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
KanbanFlow and Pipeless Recommendations, answered
What can start an automation from KanbanFlow?
Any of KanbanFlow's 2 triggers in the catalog, including New Board Event and New Task. 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 KanbanFlow?
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 KanbanFlow?
Pipeless Recommendations has no triggers in the catalog today, so automations start in KanbanFlow. 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 KanbanFlow 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 KanbanFlow 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.