Integration
Connect Hume AI and Metaview
When something happens in Hume AI or Metaview, your agent does the next thing in the other. 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 Hume AI and Metaview 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 Hume AI and Metaview can do together
From Hume AI to Metaview
When New Voice in Hume AI
then Create AI field in Metaview
When Chat ended (instant) in Hume AI
then Create report in Metaview
From Metaview to Hume AI
When New Conversation in Metaview
then Add config in Hume AI
When New Conversation in Metaview
then Add prompt in Hume 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 Hume AI and Metaview
Triggers and actions 5 triggers · 44 actions
Trigger
Chat ended (instant)Fires when an EVI chat session ends (chat_ended webhook event).
Trigger
Chat started (instant)Fires when a new EVI chat session begins (chat_started webhook event).
Trigger
New VoiceTriggers when a new voice is created.
Trigger
Tool call (instant)Fires when EVI calls a registered tool during a conversation (tool_call webhook event).
Action
Add configCreate a new EVI configuration (voice assistant setup).
Action
Add promptCreate a new system prompt for use in an EVI configuration.
Action
Add toolCreate a new tool definition that EVI can call during a conversation.
Action
Add voiceSave a new custom voice to the account from a TTS generation ID, for reuse in later speech requests.
Action
Convert voiceConvert the speech in an uploaded audio file into a different saved voice.
Action
Delete configDelete an EVI configuration from the account.
Action
Delete voiceDelete a saved custom voice from the account.
Action
Generate Text to SpeechConvert text to speech using Hume AI's expressive text-to-speech technology.
Action
List configsList the EVI configurations saved to the account.
Action
List promptsList the prompts saved to the account.
Action
List toolsList the tool definitions saved to the account.
Action
List voicesList the custom voices saved to the account.
Action
Update configUpdate an EVI configuration's name or description.
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
Hume AI and Metaview, answered
What can start an automation from Hume AI?
Any of Hume AI's 4 triggers in the catalog, including New Voice, Chat ended (instant), Chat started (instant) and Tool call (instant). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Metaview when something happens in Hume AI?
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 Hume AI?
Yes. When something happens in Metaview, your agent can act in Hume AI too. This page covers both directions: Metaview's triggers and Hume AI's actions are listed here as well.
Do I have to build a connector for Hume AI 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.
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.