Integration
Connect Pipefile to Google Tag Manager
When File Request Created fires in Pipefile, your agent runs Create Tag in Google Tag Manager. 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 Google Tag Manager 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 Pipefile can start in Google Tag Manager
When File Request Created in Pipefile
then Create Tag in Google Tag Manager
When File Request Created in Pipefile
then Create Version in Google Tag Manager
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 Google Tag Manager
Triggers and actions 1 trigger · 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.
Action
Create TagCreates a tag in a Tag Manager workspace, such as a Custom HTML tag, and sets which triggers fire it.
Action
Create VersionCreates a container version from a workspace's changes. The workspace is consumed once its version is created.
Action
Create WorkspaceCreates a new workspace in a container to hold draft changes.
Action
Delete TagDeletes a tag from a Tag Manager workspace.
Action
List AccountsReturns the Tag Manager accounts the connected user can access.
Action
List ContainersReturns the containers in a Tag Manager account.
Action
List TagsReturns the tags in a Tag Manager workspace.
Action
List WorkspacesReturns the workspaces in a Tag Manager container.
Action
Publish VersionPublishes a container version so it becomes the live version on every site using the container.
Action
Update TagUpdates a tag's name, HTML, settings, firing triggers or notes in a Tag Manager workspace; fields left blank are kept.
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 Google Tag Manager, 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 Google Tag Manager when something happens in Pipefile?
Any of Google Tag Manager's 10 actions, including Create Tag, Create Version, Create Workspace and Update Tag. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Tag Manager to Pipefile?
Google Tag Manager has no triggers in the catalog today, so automations start in Pipefile. If you need the other direction, ask: your agent reads Google Tag Manager's API documentation and adds it.
Do I have to build a connector for Pipefile or Google Tag Manager?
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 Google Tag Manager 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.