Integration
Connect Metaview and More Good Reviews
When New Conversation fires in Metaview, your agent runs Customers: Create Customer in 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.
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 Metaview and More Good Reviews 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 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 ConversationTriggers when a new conversation is available in Metaview.
Action
Build chartCreates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.
Action
Check enrichment statusReturns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.
Action
Create AI fieldCreates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.
Action
Create reportBuilds a report from conversations with filtering, metrics, grouping, and custom field inclusion.
Action
Fetch candidatesLooks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.
Action
Find candidate's sequencesFinds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.
Action
Get note templateReturns a note generation template by ID for use in automating note creation.
Action
Get search detailsRetrieves configuration and results for a sourcing search by ID.
Action
Get sourcing analyticsReturns sourcing analytics and metrics grouped by user, search, or date range with filtering options.
Action
Get sourcing messagesLists outreach messages sent in a sourcing search with pagination support.
Action
Get User ContextReturns information about the connected user account and available features.
Action
Give sourcing feedbackSubmits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.
Action
Group conversationsGroups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.
Action
List application reviewsReturns a list of application reviews, optionally filtering by name or showing only active ones.
Action
List ATS jobsReturns ATS job postings, optionally filtered by job title.
Action
List ATS stagesReturns hiring pipeline stages for a job, or workspace-level stages if no job is specified.
Action
List available fieldsReturns available data fields for reports, optionally filtered by name.
Action
List candidates in sequenceReturns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.
Action
List field valuesReturns distinct values for a field across conversations, useful for building filters or dropdowns.
Action
List mailboxesReturns email mailboxes available in this Metaview workspace.
Action
List note template foldersReturns folders of note templates organized in the workspace.
Action
List note templatesReturns note templates available in the workspace, optionally filtered by name or with full section details.
Action
List sequencesReturns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.
Action
List sourcing candidatesReturns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.
Action
List sourcing searchesReturns all sourcing searches with optional pagination.
Action
Manage candidate sequenceAdds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.
Action
Manage note templateCreates, updates, or deletes call note templates with customizable sections for structured note-taking.
Action
Manage sequenceCreates, updates, duplicates, or deletes recruitment sequences.
Action
Search conversationsSearches call conversations with optional filtering, sorting, and field selection.
Action
Search reportsSearches reports by name, category, or ID with optional full configuration details.
Action
Send sourcing messageStarts or continues a sourcing or research search with a message to the AI agent.
Trigger
Customers: New CustomerTriggers when a new customer is added to your More Good Reviews project.
Trigger
Reviews: New ReviewTriggers when a new review is collected for the project, optionally limited to a source, location, score, tag or review facet.
Action
Asks: Create AskSchedules a review request to a customer by email and/or SMS, with optional reminder messages.
Action
Charges: Create ChargeRecords a revenue charge for a customer, identified by email or phone, from an external billing system.
Action
Charges: Delete ChargePermanently deletes a mistaken charge (revenue event) from the project.
Action
Customers: Archive CustomerArchives a customer in your More Good Reviews project and cancels any unsent outreach messages to them.
Action
Customers: Cancel Customer Unsent MessagesCancels a customer's scheduled outreach messages that have not been sent yet, without archiving or unsubscribing the customer.
Action
Customers: Create CustomerCreates 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 CustomerDeletes a customer from your More Good Reviews project.
Action
Customers: Get CustomerReturns one customer in your project, including their contact details, location and tags.
Action
Customers: List Customer ChargesReturns the revenue charges recorded for one customer, newest first.
Action
Customers: List Customer MessagesReturns the outreach message history (email and SMS review requests) for one customer.
Action
Customers: List CustomersReturns the project's customers, optionally filtered by search text, email, phone, tag, status facet or date range, and sorted.
Action
Customers: Resubscribe CustomerResubscribes a customer who previously opted out, so review requests and other outreach can be sent to them again.
Action
Customers: Unarchive CustomerRestores an archived customer so review requests and integrations treat them as active again.
Action
Customers: Unsubscribe CustomerUnsubscribes a customer from future review-request outreach and cancels any messages not yet sent to them.
Action
Customers: Update Customer NotesReplaces the internal notes stored on a More Good Reviews customer.
Action
Customers: Update Customer TagsReplaces the tags assigned to a customer with the provided list of tag slugs.
Action
Locations: Get LocationReturns a single project location, including its name, display name, slug, store code and address.
Action
Locations: List LocationsReturns every active location on the More Good Reviews project, including each location's slug, store code and address.
Action
Locations: Update LocationUpdates the name, public display name, slug, store code and address of a project location. Fields left blank are not changed.
Action
Messages: Delete MessageDeletes a scheduled or sent outreach message from the project.
Action
Reviews: Delete ReviewDeletes a review from the More Good Reviews project.
Action
Reviews: List ReviewsReturns 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 RepliedMarks 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 FlagMarks a review as a duplicate, or clears its duplicate mark.
Action
Reviews: Update Review TagsReplaces all tags on a review with the given list of tag slugs.
Action
Reviews: Update Review VisibilityShows or hides a review in More Good Reviews public displays.
Action
Sources: Create SourceCreates a review source in your More Good Reviews project, such as a platform where reviews are collected.
Action
Sources: Delete SourceDeletes a review source from the project when it is no longer used.
Action
Sources: List SourcesReturns the review sources (such as Google or Facebook) available for the project's reviews.
Action
Sources: Update SourceUpdates the name, slug, color, or icon of an existing review source.
Action
Tags: Create TagCreates a tag in your More Good Reviews project for organizing customers or reviews.
Action
Tags: Delete TagDeletes a tag from the project, removing it from use on customers and reviews.
Action
Tags: List TagsReturns the project's tags used to organize customers and reviews, optionally limited to customer or review tags.
Action
Tags: Update TagUpdates an existing tag's name, slug, color, icon, or AI tagging settings.
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
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.