Integration
Connect Metaview to Everfit
When New Conversation fires in Metaview, your agent runs Assign Client to Group in Everfit. 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 Everfit 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 Metaview can start in Everfit
When New Conversation in Metaview
then Assign Client to Group in Everfit
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 Everfit
Triggers and actions 1 trigger · 57 actions
- New Conversation
Triggers when a new conversation is available in Metaview.
- Build chart
Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.
- Check enrichment status
Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.
- Create AI field
Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.
- Create report
Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion.
- Fetch candidates
Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.
- Find candidate's sequences
Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.
- Get note template
Returns a note generation template by ID for use in automating note creation.
- Get search details
Retrieves configuration and results for a sourcing search by ID.
- Get sourcing analytics
Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options.
- Get sourcing messages
Lists outreach messages sent in a sourcing search with pagination support.
- Get User Context
Returns information about the connected user account and available features.
- Give sourcing feedback
Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.
- Group conversations
Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.
- List application reviews
Returns a list of application reviews, optionally filtering by name or showing only active ones.
- List ATS jobs
Returns ATS job postings, optionally filtered by job title.
- List ATS stages
Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified.
- List available fields
Returns available data fields for reports, optionally filtered by name.
- List candidates in sequence
Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.
- List field values
Returns distinct values for a field across conversations, useful for building filters or dropdowns.
- List mailboxes
Returns email mailboxes available in this Metaview workspace.
- List note template folders
Returns folders of note templates organized in the workspace.
- List note templates
Returns note templates available in the workspace, optionally filtered by name or with full section details.
- List sequences
Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.
- List sourcing candidates
Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.
- List sourcing searches
Returns all sourcing searches with optional pagination.
- Manage candidate sequence
Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.
- Manage note template
Creates, updates, or deletes call note templates with customizable sections for structured note-taking.
- Manage sequence
Creates, updates, duplicates, or deletes recruitment sequences.
- Search conversations
Searches call conversations with optional filtering, sorting, and field selection.
- Search reports
Searches reports by name, category, or ID with optional full configuration details.
- Send sourcing message
Starts or continues a sourcing or research search with a message to the AI agent.
- Assign Client to Group
Adds a client to a client group.
- Assign Client to Studio Program
Gives a client access to a studio program, which they can start any time.
- Assign Client to Workout Collection
Gives a client access to an on-demand workout collection.
- Get Assigned Client List of Resource Collection
Returns the clients assigned to a resource collection.
- Get Assigned Program of Client
Returns the programs assigned to a client, including each program instance ID needed to unassign it.
- Get Assigned Studio Program List of Client
Returns the studio programs assigned to a client, one page at a time.
- Get Assigned Workout Collection List of Client
Returns the on-demand workout collections assigned to a client, one page at a time.
- Get Autoflow List
Returns the autoflows in your Everfit library, with their type, length and client counts.
- Get Client's Detailed Information
Returns a client's details: name, email, archived status and trainer name.
- Get Client's ID
Returns the ID of the client with the given email address.
- Get Client's Last Activity
Returns the date and time of a client's last activity in Everfit.
- Get Coach ID by Email
Returns the ID of the coach in your workspace with the given email address.
- Get Forum List
Returns the community forums in your Everfit workspace.
- Get Group List
Returns the client groups in your Everfit workspace, with each group's ID and name.
- Get Participant List of Forum
Returns the members of a community forum.
- Get Program List
Returns the programs in your Everfit library.
- Get Resource Collection List
Returns the resource collections in your Everfit workspace, one page at a time.
- Get Studio Program List
Returns the studio programs in your Everfit workspace, one page at a time, optionally only published ones.
- Get Workout Collection List
Returns the on-demand workout collections in your Everfit workspace, one page at a time.
- Register Client by Public Invite Link
Registers a client account in your workspace with a password and assigns them to a coach. Returns the new client.
- Search Client by Email
Finds every client matching an email address and returns each one's ID and name.
- Unarchive Client
Reactivates an archived client so they can resume training.
- Unassign Client From Group
Removes a client from a client group.
- Unassign Client From Program
Unassigns one assigned program from a client; its workouts from today onward are removed from the client's calendar. Use Get Assigned Program of Client for the instance ID.
- Unassign Client From Studio Program
Removes a client's access to a studio program.
- Unassign Client From Workout Collection
Removes a client's access to an on-demand workout collection.
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 Everfit, 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 Everfit when something happens in Metaview?
Any of Everfit's 26 actions, including Assign Client to Group, Assign Client to Studio Program, Assign Client to Workout Collection and Get Assigned Client List of Resource Collection. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Everfit to Metaview?
Everfit has no triggers in the catalog today, so automations start in Metaview. If you need the other direction, ask: your agent reads Everfit's API documentation and adds it.
Do I have to build a connector for Metaview or Everfit?
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 Everfit 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.