Integration
Connect Metaview to Retell AI
When something happens in Metaview, your agent does the next thing in Retell AI. Describe it 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 Retell AI to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 can start in Retell AI
When New Conversation in Metaview
then Add Agent in Retell AI
When New Conversation in Metaview
then Create Knowledge Base in Retell AI
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 Retell AI
Triggers and actions 1 trigger · 58 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.
Action
Add AgentCreate a new Retell AI voice agent attached to a response engine (Retell LLM, custom LLM, or conversation flow) and a voice.
Action
Create Knowledge BaseCreate a new Retell AI knowledge base from texts, URLs and/or a file.
Action
Create Retell LLMCreate a new Retell LLM Response Engine that can be attached to an agent. This is used to generate response output for the agent.
Action
Delete AgentDeletes an existing Retell AI agent, including all of its versions.
Action
Delete Knowledge BaseDelete an existing knowledge base.
Action
Delete Phone NumberDelete a phone number from your Retell AI account.
Action
Delete Retell LLMDelete a Retell LLM response engine.
Action
Get a CallRetrieves the full details of a Retell AI call (phone or web): status, transcript, recording links, post-call analysis, cost and latency.
Action
Get an AgentRetrieve the full configuration of a Retell AI voice agent.
Action
Get a Phone NumberRetrieve the details of one phone number in your Retell AI account, including its bound agents, nickname and webhook settings.
Action
Get a Retell LLMRetrieve the details of a Retell LLM response engine, including its prompt, model, tools and states.
Action
Get a VoiceRetrieve the details of a single Retell AI voice: its name, provider, accent, gender, age and a preview audio link.
Action
Get ConcurrencyGets your Retell AI organization's current number of ongoing calls and its concurrency limits.
Action
Get Knowledge BaseRetrieve the details of a knowledge base, including its processing status and sources.
Action
Import Phone NumberImport a phone number from your own telephony provider (for example a Twilio elastic SIP trunk) into Retell AI and optionally bind agents to it.
Action
List AgentsLists the voice and chat agents in the Retell AI account, optionally filtered by channel or by a name/id search.
Action
List CallsList calls in the Retell AI account, newest first by default, optionally filtered by agent, status, direction, numbers, time range and more. Returns up to 1000 calls; transcripts and recording URLs are not included (use Get a Call for those).
Action
List Knowledge BasesList all knowledge bases in the Retell AI account.
Action
List Phone NumbersLists the phone numbers in your Retell AI account (up to 1000).
Action
List Retell LLMsLists the Retell LLM response engines in the account.
Action
List VoicesList all voices available to the Retell AI account.
Action
Make a Phone CallStart a new outbound phone call from one of your Retell numbers, handled by a Retell voice agent.
Action
Register Phone CallRegister a phone call placed through your own (custom) telephony, so Retell issues a call id your telephony can connect the audio to.
Action
Update AgentUpdates an existing Retell AI voice agent's latest draft version. Only the fields you fill in are changed.
Action
Update CallUpdate the metadata, data storage setting or custom attributes of an existing Retell AI call.
Action
Update Phone NumberUpdates the agents, nickname, webhooks, country restrictions, SIP trunk and fallback settings of a phone number in Retell AI. Only the fields you fill in are changed.
Action
Update Retell LLMUpdate an existing Retell LLM response engine's configuration (prompt, model, etc).
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
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Questions
Metaview and Retell AI, 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 Retell AI when something happens in Metaview?
Any of Retell AI's 27 actions, including Create Knowledge Base, Create Retell LLM, Update Agent and Update Call. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Retell AI to Metaview?
Retell AI has no triggers in the catalog today, so automations start in Metaview. If you need the other direction, ask: your agent reads Retell AI's API documentation and adds it.
Do I have to build a connector for Metaview or Retell AI?
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.
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.