Integration

Connect Pipefile to Google Analytics

When something happens in Pipefile, your agent does the next thing in Google Analytics. Describe it 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 Analytics to do together?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Examples

Pick one to fill the box, then change anything: the steps, the wording, even the apps. Go as long as you like.

Connect your AI client

Give your AI client this address.

https://mcp.apiant.ai

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.ai

Start 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)

Pipefile handles the back and forth of collecting sensitive documents, while Google Analytics holds the account and audience records for the sites you run. Joining them means a new file request in Pipefile can pull the matching Google Analytics account or audience list and file the recipient as a contact, without anyone opening two tabs.

Example flows

What Pipefile can start in Google Analytics

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 Analytics

Triggers and actions 1 trigger · 13 actions

Each app on its own

Reviews

What our customers say

More from Pipefile

More into Google Analytics

Questions

Pipefile and Google Analytics, answered

Can something in Google Analytics start the automation?

No. Google Analytics offers read actions here, such as List Accounts, Get Account and List Audiences, but no trigger. Every scenario on this page starts from the File Request Created trigger in Pipefile.

Will the recipient of a file request be saved as a contact?

Yes. After the File Request Created trigger fires, the agent can run Get File Request for the full details, check List Contacts, and use Create Contact or Update Contact so the recipient record in Pipefile stays correct.

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 Analytics when something happens in Pipefile?

Any of Google Analytics's 3 actions, including Get Account, List Accounts and List Audiences. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Google Analytics to Pipefile?

Google Analytics has no triggers in the catalog today, so automations start in Pipefile. If you need the other direction, ask: your agent reads Google Analytics's API documentation and adds it.

Do I have to build a connector for Pipefile or Google Analytics?

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.

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.