Integration
Connect Pipefile and Taplio
When File Request Created fires in Pipefile, your agent runs Request Connection in Taplio, or Engagement Received in Taplio to Create Contact in Pipefile. 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 Pipefile and Taplio 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 Pipefile and Taplio can do together
From Pipefile to Taplio
When File Request Created in Pipefile
then Request Connection in Taplio
When File Request Created in Pipefile
then Create Comment Draft in Taplio
From Taplio to Pipefile
When Engagement Received in Taplio
then Create Contact in Pipefile
When Post Published in Taplio
then Update Contact in Pipefile
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 Pipefile and Taplio
Triggers and actions 3 triggers · 20 actions
Trigger
File Request CreatedTriggers when a file request is created.
Action
Add File Request From TemplateCreate a new file request from an existing template for one recipient (name/email/phone), optionally on behalf of a team member via X-Pipefile-On-Behalf-Of.
Action
Create ContactAdd to contacts
Action
Delete ContactDelete a contact by id. Returns 204 No Content on success.
Action
Get ContactRetrieve one contact by id.
Action
Get File RequestRetrieve detailed information about one file request by id, including contents, items, files, and tracking events.
Action
List ContactsRetrieve a paginated list of contacts, filterable by name/email/phone partial match.
Action
List File Request TemplatesRetrieve the list of file request templates available for creating new file requests, with optional name search.
Action
Search File RequestsFinds all file requests matching this search query (contact name, email, tags, etc).
Action
Send RequestCreate and send a new request
Action
Update ContactUpdate name/email/phone of an existing contact by id.
Trigger
Engagement ReceivedTriggers when someone comments on one of your LinkedIn posts. Taplio refreshes this data a few times per day.
Trigger
Post PublishedTriggers when a post is published to LinkedIn through Taplio.
Action
Create Comment DraftCreates a comment draft on a LinkedIn post in Taplio.
Action
Create Post DraftCreates a LinkedIn post draft in Taplio and returns its ID.
Action
Get PostReturns one Taplio post by its ID.
Action
Get Post DraftReturns one Taplio post draft by its ID.
Action
Like PostQueues a like on a LinkedIn post or comment through Taplio.
Action
List PostsReturns your Taplio posts, optionally filtered by status.
Action
Publish Post DraftPublishes a Taplio post draft to LinkedIn immediately.
Action
Request ConnectionQueues a LinkedIn connection request to a person through Taplio.
Action
Schedule Post DraftSchedules a Taplio post draft to publish on LinkedIn at a later time.
Action
Update Post DraftReplaces the text of a Taplio post draft.
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
Pipefile and Taplio, answered
What can start an automation from Pipefile?
Any of Pipefile's 1 trigger in the catalog, including File Request Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Taplio when something happens in Pipefile?
Any of Taplio's 10 actions, including Create Comment Draft, Create Post Draft, Update Post Draft and Get Post. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Taplio to Pipefile?
Yes. When something happens in Taplio, your agent can act in Pipefile too. This page covers both directions: Taplio's triggers and Pipefile's actions are listed here as well.
Do I have to build a connector for Pipefile or Taplio?
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 Pipefile and Taplio 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.