Integration
Connect Metaview to Apify
When New Conversation fires in Metaview, your agent runs Run Task in Apify. 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 Apify 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 can start in Apify
When New Conversation in Metaview
then Run Task in Apify
When New Conversation in Metaview
then Set Key-Value Store Record in Apify
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 Apify
Triggers and actions 1 trigger · 49 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
Abort Actor buildAborts an Actor build that is starting or running and returns the build's details. Builds that already finished, failed, timed out or are aborting are left unchanged.
Action
Abort Actor runAborts a running or starting Apify Actor run and returns the run's details, including its updated status. Runs that already finished, failed or timed out are left unchanged.
Action
Add dataset itemsAppends one or more items to the end of an Apify dataset.
Action
Delete key-value store recordDeletes a record, identified by its key, from an Apify key-value store.
Action
Fetch Dataset ItemsReturns all items stored in an Apify dataset, such as the results scraped by an Actor run, with optional field selection and cleanup.
Action
Find Last Actor RunReturns the most recent run of an Actor, optionally limited to runs with a given status or started a given way, including its status, timing and the ids of its default dataset and key-value store.
Action
Find Last Task RunReturns the most recent run of an Apify Actor task, optionally limited to runs with a given status or origin.
Action
Get ActorReturns all the details of an Apify Actor, including its versions, default run options, statistics and pricing.
Action
Get Actor runReturns the details of one Actor run, including its status, timing, statistics, costs and the IDs of its default dataset, key-value store and request queue. Can optionally wait up to 60 seconds for the run to finish.
Action
Get Key-Value Store RecordReturns the value stored under a key in an Apify key-value store, such as an Actor run's output or input record.
Action
Get taskReturns the details of an Apify Actor task, including its saved input, run options, and run statistics.
Action
List Actor runsReturns the runs of one of your Apify Actors, with each run's status, start and finish times, cost and the IDs of its default dataset and key-value store. Can be filtered by status and start date.
Action
List ActorsReturns the Actors you created or have used in your Apify account, with each Actor's ID, name, owner username, title and usage stats.
Action
List datasetsReturns the datasets in your Apify account, with each dataset's id, name, item count and timestamps.
Action
List tasksReturns the Actor tasks you have created or used, with each task's id, name, Actor and run stats.
Action
Run ActorStarts a run of an Apify Actor with the input you provide and returns the new run, including its status and the IDs of its default dataset and key-value store.
Action
Run TaskStarts a run of one of your saved Apify Actor tasks, optionally overriding parts of its input, and returns the new run with its status and storage IDs.
Action
Set Key-Value Store RecordSaves a value under a key in an Apify key-value store, replacing any existing record with the same key.
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 Apify, 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 Apify when something happens in Metaview?
Any of Apify's 18 actions, including Abort Actor build, Abort Actor run, Add dataset items and Fetch Dataset Items. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Apify to Metaview?
Apify has no triggers in the catalog today, so automations start in Metaview. If you need the other direction, ask: your agent reads Apify's API documentation and adds it.
Do I have to build a connector for Metaview or Apify?
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 Apify 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.