---
title: "Connect Google Analytics and Metaview - APIANT.ai"
description: "When \"New Daily Report Row\" fires in Google Analytics, your agent runs \"Create report\" in Metaview."
canonical: "https://apiant.ai/connect/google-analytics-2-to-metaview"
---

# Connect Google Analytics and Metaview

When **New Daily Report Row** fires in [Google Analytics](https://apiant.ai/connections/google-analytics-2), your agent runs **Create report** in [Metaview](https://apiant.ai/connections/metaview), or **New Conversation** in Metaview to **Run Realtime Report** in Google Analytics. Describe the whole flow and it is built, tested on every scenario and kept running.

Google Analytics **1** trigger Google Analytics **7** actions Metaview **1** trigger Metaview **31** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Google Analytics and Metaview to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.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)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Google Analytics and Metaview can do together

### From Google Analytics to Metaview

- When **New Daily Report Row** in Google Analytics then **Create report** in Metaview
- When **New Daily Report Row** in Google Analytics then **Send sourcing message** in Metaview

### From Metaview to Google Analytics

- When **New Conversation** in Metaview then **Run Realtime Report** in Google Analytics
- When **New Conversation** in Metaview then **Run Report** 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 Google Analytics and Metaview

## Triggers and actions 2 triggers · 38 actions

- Trigger

**New Daily Report Row**

Triggers once for each report row of the previous full day (in the property's time zone), with the chosen dimensions and metrics as fields. Checks for yesterday's rows on every poll and delivers each row once.

- Action

**Get Metadata**

Returns the dimensions and metrics available for reporting on a GA4 property, including custom ones.

- Action

**Get Property**

Returns the details of one GA4 property, such as its name, time zone and currency.

- Action

**List Accounts**

Returns the Google Analytics accounts the connected user can access.

- Action

**List Audiences**

Returns the audiences defined on a GA4 property.

- Action

**List Properties**

Returns the GA4 properties under an account.

- Action

**Run Realtime Report**

Runs a GA4 realtime report covering the last 30 minutes of activity on a property.

- Action

**Run Report**

Runs a GA4 report for the chosen dimensions, metrics and date range and returns one row per dimension combination.

- Trigger

**New Conversation**

Triggers when a new conversation is available in Metaview.

- Action

**Build chart**

Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.

- Action

**Check enrichment status**

Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.

- Action

**Create AI field**

Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.

- Action

**Create report**

Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion.

- Action

**Fetch candidates**

Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.

- Action

**Find candidate's sequences**

Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.

- Action

**Get note template**

Returns a note generation template by ID for use in automating note creation.

- Action

**Get search details**

Retrieves configuration and results for a sourcing search by ID.

- Action

**Get sourcing analytics**

Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options.

- Action

**Get sourcing messages**

Lists outreach messages sent in a sourcing search with pagination support.

- Action

**Get User Context**

Returns information about the connected user account and available features.

- Action

**Give sourcing feedback**

Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.

- Action

**Group conversations**

Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.

- Action

**List application reviews**

Returns a list of application reviews, optionally filtering by name or showing only active ones.

- Action

**List ATS jobs**

Returns ATS job postings, optionally filtered by job title.

- Action

**List ATS stages**

Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified.

- Action

**List available fields**

Returns available data fields for reports, optionally filtered by name.

- Action

**List candidates in sequence**

Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.

- Action

**List field values**

Returns distinct values for a field across conversations, useful for building filters or dropdowns.

- Action

**List mailboxes**

Returns email mailboxes available in this Metaview workspace.

- Action

**List note template folders**

Returns folders of note templates organized in the workspace.

- Action

**List note templates**

Returns note templates available in the workspace, optionally filtered by name or with full section details.

- Action

**List sequences**

Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.

- Action

**List sourcing candidates**

Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.

- Action

**List sourcing searches**

Returns all sourcing searches with optional pagination.

- Action

**Manage candidate sequence**

Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.

- Action

**Manage note template**

Creates, updates, or deletes call note templates with customizable sections for structured note-taking.

- Action

**Manage sequence**

Creates, updates, duplicates, or deletes recruitment sequences.

- Action

**Search conversations**

Searches call conversations with optional filtering, sorting, and field selection.

- Action

**Search reports**

Searches reports by name, category, or ID with optional full configuration details.

- Action

**Send sourcing message**

Starts or continues a sourcing or research search with a message to the AI agent.

## Each app on its own

- [ **Google Analytics** Google Analytics 4 measures website and app traffic, user behavior and conversions; run reports and read...](https://apiant.ai/connections/google-analytics-2)
- [ **Metaview** Metaview writes your recruiting notes for you so you can save time and focus on high-quality interactions...](https://apiant.ai/connections/metaview)

Reviews

## What our customers say

## More from Google Analytics

- [ **Google Analytics to ScrapingAnt** ScrapingAnt is a web scraping tool that handles proxies and headless browsers.](https://apiant.ai/connect/google-analytics-2-to-scrapingant)
- [ **Google Analytics to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-analytics-2-to-hubspot)
- [ **Google Analytics to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-analytics-2-to-salesforce)
- [ **Google Analytics to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/google-analytics-2-to-slack)
- [ **Google Analytics to Google Sheets** Google Sheets](https://apiant.ai/connect/google-analytics-2-to-google-sheets)
- [ **Google Analytics to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-analytics-2-to-google-calendar)

## More into Metaview

- [ **HubSpot to Metaview** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-metaview)
- [ **Google Sheets to Metaview** Google Sheets](https://apiant.ai/connect/google-sheets-to-metaview)
- [ **Gmail to Metaview** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-metaview)
- [ **Google Drive to Metaview** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-metaview)
- [ **Mailchimp to Metaview** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-metaview)
- [ **ActiveCampaign to Metaview** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-metaview)

Questions

## Google Analytics and Metaview, answered

###

### What can start an automation from Google Analytics?

Any of Google Analytics's 1 trigger in the catalog, including New Daily Report Row. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Metaview when something happens in Google Analytics?

Any of Metaview's 31 actions, including Create AI field, Create report, Send sourcing message and Build chart. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Metaview to Google Analytics?

Yes. When something happens in Metaview, your agent can act in Google Analytics too. This page covers both directions: Metaview's triggers and Google Analytics's actions are listed here as well.

###

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

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 Google Analytics and Metaview 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.
