Integration
Connect Kustomer and Metaview
When Conversation Created fires in Kustomer, your agent runs Group conversations in Metaview, or New Conversation in Metaview to Create Conversation in Kustomer. 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 Kustomer and Metaview 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Kustomer and Metaview can do together
From Kustomer to Metaview
When Conversation Created in Kustomer
then Group conversations in Metaview
When Conversation Updated in Kustomer
then Send sourcing message in Metaview
From Metaview to Kustomer
When New Conversation in Metaview
then Create Conversation in Kustomer
When New Conversation in Metaview
then Add message in Kustomer
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 Kustomer and Metaview
Triggers and actions 7 triggers · 52 actions
Trigger
Conversation CreatedTriggers when a new conversation is created in Kustomer.
Trigger
Conversation UpdatedTriggers when a Kustomer conversation is created or updated.
Trigger
Customer CreatedTriggers when a new customer is created in Kustomer.
Trigger
Customer UpdatedTriggers when a Kustomer customer is created or updated.
Trigger
Message CreatedTriggers when a new message is sent or received in Kustomer.
Trigger
Message UpdatedTriggers when a Kustomer message is created or updated.
Action
Add custom objectCreates a new custom object (KObject) of the chosen custom object type in Kustomer.
Action
Add messageAdds a message to an existing Kustomer conversation; the message belongs to the conversation's customer.
Action
Create CompanyCreates a company in Kustomer that customers can be linked to.
Action
Create ConversationCreates a new conversation for a Kustomer customer, with an optional name, status and tags.
Action
Create CustomerCreates a new customer in Kustomer with a name, email, phone and optional external ID.
Action
Create NotesAdds an internal note to a Kustomer conversation. Notes are visible to agents only, not the customer.
Action
Create UserInvites a new agent user to your Kustomer org by name and email.
Action
Delete CustomerDeletes a Kustomer customer by ID.
Action
Find ConversationFinds a Kustomer conversation by the external ID your own system gave it.
Action
Find CustomerFinds a Kustomer customer by email address and returns their ID, name and phone.
Action
Find custom objects by criteriaReturns the custom objects (KObjects) of a chosen Klass, optionally only those after a given date, sorted and limited to selected fields.
Action
Find UserFinds a Kustomer agent user by email address.
Action
Get CompanyReturns one Kustomer company by ID.
Action
Get ConversationReturns one Kustomer conversation by ID, with its subject, status, customer and timestamps.
Action
Get CustomerReturns one Kustomer customer by ID, with name, emails, phones and timestamps.
Action
Get messageReturns a single Kustomer message by its ID, including its attributes and related conversation and customer.
Action
Get userReturns a Kustomer user (agent) by their ID, including name, email and other profile attributes.
Action
List teamsReturns the teams in your Kustomer organization, optionally filtered by role group or deleted status.
Action
Update companyUpdates an existing Kustomer company's name, external ID, emails, phones, tags and custom attributes.
Action
Update ConversationUpdates a Kustomer conversation's subject or status. Only the fields you fill in are changed.
Action
Update CustomerUpdates an existing Kustomer customer's name, email, phone or external ID. Only the fields you fill in are changed.
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.
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
Kustomer and Metaview, answered
What can start an automation from Kustomer?
Any of Kustomer's 6 triggers in the catalog, including Conversation Created, Conversation Updated, Customer Created and Customer Updated. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Metaview when something happens in Kustomer?
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 Kustomer?
Yes. When something happens in Metaview, your agent can act in Kustomer too. This page covers both directions: Metaview's triggers and Kustomer's actions are listed here as well.
Do I have to build a connector for Kustomer 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 Kustomer 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.