--- title: "Connect Metaview and More Good Reviews - APIANT.ai" description: "When \"New Conversation\" fires in Metaview, your agent runs \"Customers: Create Customer\" in More Good Reviews." canonical: "https://apiant.ai/connect/metaview-to-more-good-reviews" --- # Connect Metaview and More Good Reviews When **New Conversation** fires in [Metaview](https://apiant.ai/connections/metaview), your agent runs **Customers: Create Customer** in [More Good Reviews](https://apiant.ai/connections/more-good-reviews), or **Customers: New Customer** in More Good Reviews 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 More Good Reviews **2** triggers More Good Reviews **34** 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 More Good Reviews 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 More Good Reviews can do together ### From Metaview to More Good Reviews - When **New Conversation** in Metaview then **Customers: Create Customer** in More Good Reviews - When **New Conversation** in Metaview then **Customers: Get Customer** in More Good Reviews ### From More Good Reviews to Metaview - When **Customers: New Customer** in More Good Reviews then **Send sourcing message** in Metaview - When **Reviews: New Review** in More Good Reviews 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 More Good Reviews ## Triggers and actions 3 triggers · 65 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 **Customers: New Customer** Triggers when a new customer is added to your More Good Reviews project. - Trigger **Reviews: New Review** Triggers when a new review is collected for the project, optionally limited to a source, location, score, tag or review facet. - Action **Asks: Create Ask** Schedules a review request to a customer by email and/or SMS, with optional reminder messages. - Action **Charges: Create Charge** Records a revenue charge for a customer, identified by email or phone, from an external billing system. - Action **Charges: Delete Charge** Permanently deletes a mistaken charge (revenue event) from the project. - Action **Customers: Archive Customer** Archives a customer in your More Good Reviews project and cancels any unsent outreach messages to them. - Action **Customers: Cancel Customer Unsent Messages** Cancels a customer's scheduled outreach messages that have not been sent yet, without archiving or unsubscribing the customer. - Action **Customers: Create Customer** Creates a customer in your More Good Reviews project, or updates the existing customer that matches the email (or, failing that, the phone) you supply. - Action **Customers: Delete Customer** Deletes a customer from your More Good Reviews project. - Action **Customers: Get Customer** Returns one customer in your project, including their contact details, location and tags. - Action **Customers: List Customer Charges** Returns the revenue charges recorded for one customer, newest first. - Action **Customers: List Customer Messages** Returns the outreach message history (email and SMS review requests) for one customer. - Action **Customers: List Customers** Returns the project's customers, optionally filtered by search text, email, phone, tag, status facet or date range, and sorted. - Action **Customers: Resubscribe Customer** Resubscribes a customer who previously opted out, so review requests and other outreach can be sent to them again. - Action **Customers: Unarchive Customer** Restores an archived customer so review requests and integrations treat them as active again. - Action **Customers: Unsubscribe Customer** Unsubscribes a customer from future review-request outreach and cancels any messages not yet sent to them. - Action **Customers: Update Customer Notes** Replaces the internal notes stored on a More Good Reviews customer. - Action **Customers: Update Customer Tags** Replaces the tags assigned to a customer with the provided list of tag slugs. - Action **Locations: Get Location** Returns a single project location, including its name, display name, slug, store code and address. - Action **Locations: List Locations** Returns every active location on the More Good Reviews project, including each location's slug, store code and address. - Action **Locations: Update Location** Updates the name, public display name, slug, store code and address of a project location. Fields left blank are not changed. - Action **Messages: Delete Message** Deletes a scheduled or sent outreach message from the project. - Action **Reviews: Delete Review** Deletes a review from the More Good Reviews project. - Action **Reviews: List Reviews** Returns the project's reviews, optionally filtered by date range, facet, location, source, star rating or tag, and sorted by rating or date. - Action **Reviews: Mark Review Replied** Marks a review as replied (or clears its replied status) when the reply was handled outside More Good Reviews, without changing the stored reply text. - Action **Reviews: Update Review Duplicate Flag** Marks a review as a duplicate, or clears its duplicate mark. - Action **Reviews: Update Review Tags** Replaces all tags on a review with the given list of tag slugs. - Action **Reviews: Update Review Visibility** Shows or hides a review in More Good Reviews public displays. - Action **Sources: Create Source** Creates a review source in your More Good Reviews project, such as a platform where reviews are collected. - Action **Sources: Delete Source** Deletes a review source from the project when it is no longer used. - Action **Sources: List Sources** Returns the review sources (such as Google or Facebook) available for the project's reviews. - Action **Sources: Update Source** Updates the name, slug, color, or icon of an existing review source. - Action **Tags: Create Tag** Creates a tag in your More Good Reviews project for organizing customers or reviews. - Action **Tags: Delete Tag** Deletes a tag from the project, removing it from use on customers and reviews. - Action **Tags: List Tags** Returns the project's tags used to organize customers and reviews, optionally limited to customer or review tags. - Action **Tags: Update Tag** Updates an existing tag's name, slug, color, icon, or AI tagging settings. ## 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) - [ **More Good Reviews** Get more good reviews from your customers.](https://apiant.ai/connections/more-good-reviews) 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 More Good Reviews - [ **HubSpot to More Good Reviews** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-more-good-reviews) - [ **Google Sheets to More Good Reviews** Google Sheets](https://apiant.ai/connect/google-sheets-to-more-good-reviews) - [ **Gmail to More Good Reviews** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-more-good-reviews) - [ **Google Calendar to More Good Reviews** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-more-good-reviews) - [ **Google Drive to More Good Reviews** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-more-good-reviews) - [ **Mailchimp to More Good Reviews** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-more-good-reviews) Questions ## Metaview and More Good Reviews, 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 More Good Reviews when something happens in Metaview? Any of More Good Reviews's 34 actions, including Asks: Create Ask, Charges: Create Charge, Customers: Create Customer and Customers: Get Customer. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from More Good Reviews to Metaview? Yes. When something happens in More Good Reviews, your agent can act in Metaview too. This page covers both directions: More Good Reviews's triggers and Metaview's actions are listed here as well. ### ### Do I have to build a connector for Metaview or More Good Reviews? 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 More Good Reviews 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.