---
title: "Connect Metaview and Wachete - APIANT.ai"
description: "When \"New Conversation\" fires in Metaview, your agent runs \"Create monitor\" in Wachete."
canonical: "https://apiant.ai/connect/metaview-to-wachete"
---

# Connect Metaview and Wachete

When **New Conversation** fires in [Metaview](https://apiant.ai/connections/metaview), your agent runs **Create monitor** in [Wachete](https://apiant.ai/connections/wachete), or **New notification for monitor** in Wachete to **Send sourcing message** in Metaview. Describe the whole flow and it is built, tested on every scenario and kept running.

Metaview **1** trigger Metaview **31** actions Wachete **2** triggers Wachete **7** actions

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

## What do you want Metaview and Wachete 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 Metaview and Wachete can do together

### From Metaview to Wachete

- When **New Conversation** in Metaview then **Create monitor** in Wachete
- When **New Conversation** in Metaview then **Update monitor** in Wachete

### From Wachete to Metaview

- When **New notification for monitor** in Wachete then **Send sourcing message** in Metaview
- When **Any new notification** in Wachete then **Create AI field** in Metaview

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 Metaview and Wachete

## Triggers and actions 3 triggers · 38 actions

- 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.

- Trigger

**Any new notification**

Fires when there is a new change notification from any monitor in your Wachete account.

- Trigger

**New notification for monitor**

Fires when there is a new change notification from the specified Wachete monitor (taskId).

- Action

**Create monitor**

Create a new Wachete monitor (wachet) that watches a web page or part of a page for changes.

- Action

**Delete monitor**

Delete a Wachete monitor by its ID.

- Action

**Get monitor**

Get information about a specific Wachete monitor by its ID.

- Action

**Get monitor data**

Get the captured data/history for a Wachete monitor, optionally as a diff and within a date range.

- Action

**List folders**

List folder contents, optionally under a parent folder.

- Action

**List notifications**

List change notifications, optionally filtered by monitor (taskId) and date range.

- Action

**Update monitor**

Change the settings of an existing Wachete monitor — name, URL, watched/excluded XPath, regex, note, job type, check frequency and location, crawl options, folder, alerts, notification endpoints, headers and proxies. A partial update: the op first reads the monitor's current record, overlays only the fields you filled in, then writes the merged record back, so anything you leave blank keeps its current value — including settings this op does not expose. Identify the monitor by its id. Check frequency is in seconds (86400 = daily) and is ignored if not positive; the true/false options take the words true or false; alerts, notification endpoints, headers and proxies take JSON. Returns the monitor id, name and URL after the update plus the full monitor record.

## Each app on its own

- [ **Metaview** Metaview writes your recruiting notes for you so you can save time and focus on high-quality interactions...](https://apiant.ai/connections/metaview)
- [ **Wachete** Wachete monitors web pages (or parts of pages) for changes and notifies you when the text changes or...](https://apiant.ai/connections/wachete)

Reviews

## What our customers say

## More from Metaview

- [ **Metaview to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/metaview-to-salesforce)
- [ **Metaview to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/metaview-to-slack)
- [ **Metaview to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/metaview-to-google-calendar)
- [ **Metaview to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/metaview-to-stripe)
- [ **Metaview to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/metaview-to-shopify)
- [ **Metaview to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/metaview-to-quickbooks-online)

## More into Wachete

- [ **HubSpot to Wachete** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-wachete)
- [ **Slack to Wachete** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-wachete)
- [ **Mailchimp to Wachete** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-wachete)
- [ **Shopify to Wachete** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-wachete)
- [ **QuickBooks Online to Wachete** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/quickbooks-online-to-wachete)
- [ **Pipedrive to Wachete** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-wachete)

Questions

## Metaview and Wachete, answered

###

### What can start an automation from Metaview?

Any of Metaview's 1 trigger in the catalog, including New Conversation. Describe the moment in plain language and your agent picks the right one.

###

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

Any of Wachete's 7 actions, including Create monitor, Update monitor, Get monitor and Get monitor data. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Wachete to Metaview?

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

###

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

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 Metaview and Wachete 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.
