Integration
Connect Pipeliner to Taqiro
When New account fires in Pipeliner, your agent runs Add task comment in Taqiro. 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 Pipeliner and Taqiro 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 Pipeliner can start in Taqiro
When New account in Pipeliner
then Add task comment in Taqiro
When New contact in Pipeliner
then Create Task in Taqiro
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 Pipeliner and Taqiro
Triggers and actions 5 triggers · 35 actions
Trigger
New accountFires when a new Account is created in Pipeliner.
Trigger
New contactFires when a new Contact is created in Pipeliner.
Trigger
New leadFires when a new Lead is created in Pipeliner.
Trigger
New opportunityFires when a new Opportunity is created in Pipeliner.
Trigger
Updated opportunityFires when an Opportunity is updated in Pipeliner.
Action
Add accountAdds a new account
Action
Add contactCreate a new Contact record.
Action
Add leadCreate a new Lead record.
Action
Add noteAdds a note to an account, contact, lead, opportunity, project, quote or custom entity record in Pipeliner.
Action
Add opportunityCreate a new Opportunity record.
Action
Add productCreate a new Product record.
Action
Delete accountDeletes a Pipeliner account by its id.
Action
Delete contactRemove Contact with given id.
Action
Find accounts by nameReturns up to 30 accounts whose name matches the specified name.
Action
Find contacts by emailReturns up to 30 contacts whose primary email matches the specified email.
Action
Get accountRetrieves a single account by its id.
Action
Get contactReturn Contact with given id.
Action
Get leadReturn Lead with given id.
Action
Get opportunityReturn Opportunity with given id.
Action
Update accountUpdate an existing Account record.
Action
Update contactUpdate an existing Contact record.
Action
Update leadUpdate an existing Lead record.
Action
Update opportunityUpdate an existing Opportunity record.
Action
Add document/api/v1/documents
Action
Add folder/api/v1/folders
Action
Add tag/api/v1/tags
Action
Add task comment/api/v1/tasks/{task_id}/comments
Action
Create ListCreates a new tasklist.
Action
Create TaskCreates a new task.
Action
Get list/api/v1/lists/{list_id}
Action
Get task/api/v1/tasks/{task_id}
Action
List documents/api/v1/documents
Action
List folders/api/v1/folders
Action
List lists/api/v1/lists
Action
List members/api/v1/members
Action
List tags/api/v1/tags
Action
List tasks/api/v1/tasks (cursor pagination)
Action
Mark Task as CompletedUpdates a task status to completed.
Action
Update list/api/v1/lists/{list_id}
Action
Update task/api/v1/tasks/{task_id}
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
Pipeliner and Taqiro, answered
What can start an automation from Pipeliner?
Any of Pipeliner's 5 triggers in the catalog, including New account, New contact, New lead and New opportunity. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Taqiro when something happens in Pipeliner?
Any of Taqiro's 17 actions, including Create List, Create Task, Mark Task as Completed and Update list. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Taqiro to Pipeliner?
Taqiro has no triggers in the catalog today, so automations start in Pipeliner. If you need the other direction, ask: your agent reads Taqiro's API documentation and adds it.
Do I have to build a connector for Pipeliner or Taqiro?
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 Pipeliner and Taqiro 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.