Integration
Connect Metaview to Strava
When New Conversation fires in Metaview, your agent runs Get activity in Strava. 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 Strava 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 Strava
When New Conversation in Metaview
then Get activity in Strava
When New Conversation in Metaview
then Get athlete in Strava
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 Strava
Triggers and actions 1 trigger · 44 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
Get activityReturns the full details of one of the authenticated athlete's Strava activities, including distance, times, elevation, laps, splits and segment efforts.
Action
Get athleteReturns the profile of the Strava athlete whose account is connected, including name, location, follower counts, clubs, bikes and shoes.
Action
Get athlete statsReturns an athlete's activity totals — recent (last 4 weeks), year-to-date and all-time ride, run and swim stats, plus their longest ride and biggest climb. Only activities visible to Everyone are counted.
Action
Get clubReturns the full details of a Strava club, including its name, location, sport type, member count and your membership status.
Action
Get gearReturns a piece of the athlete's equipment (a bike or pair of shoes) by its id, including brand, model, description and total distance.
Action
Get routeReturns a Strava route by its id, including its name, distance, elevation gain, map and segments. Private routes require read_all access.
Action
Get segmentReturns a Strava segment's details, including distance, grade, elevation, location, and the athlete's own stats on it.
Action
List activitiesReturns the connected athlete's activities, newest first, optionally limited to a time window.
Action
List activity commentsReturns the comments posted on a Strava activity, including each comment's text, author and posting time.
Action
List activity kudoersReturns the athletes who gave kudos to a Strava activity.
Action
List clubsReturns the clubs the connected Strava athlete is a member of.
Action
List routesReturns the routes created by the authenticated Strava athlete. Private routes are included only when the connection has read_all access.
Action
List starred segmentsReturns the segments the connected Strava athlete has starred. Private segments are included only when the connection has the read_all scope.
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 Strava, 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 Strava when something happens in Metaview?
Any of Strava's 13 actions, including Get activity, Get athlete, Get athlete stats and Get club. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Strava to Metaview?
Strava has no triggers in the catalog today, so automations start in Metaview. If you need the other direction, ask: your agent reads Strava's API documentation and adds it.
Do I have to build a connector for Metaview or Strava?
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 Strava 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.