Integration
Connect Overloop.ai to Strava
When List Created fires in Overloop.ai, 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 Overloop.ai 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 Overloop.ai can start in Strava
When List Created in Overloop.ai
then Get activity in Strava
When New Exclusion List Item in Overloop.ai
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 Overloop.ai and Strava
Triggers and actions 2 triggers · 30 actions
Trigger
List CreatedTriggers when a new list is created in Overloop.ai.
Trigger
New Exclusion List ItemTriggers when a new email address or domain is added to your Overloop exclusion list.
Action
Add listCreates a new prospect or organization list in Overloop.
Action
Add Prospect to CampaignAdds a prospect to an Overloop campaign by enrolling them in it, optionally at a specific step or start time. Returns the new enrollment.
Action
Create OrganizationCreates a new organization in Overloop.ai with its name, contact details, address, lists and any custom fields.
Action
Create ProspectCreates a new prospect in Overloop.ai with contact details, lists, owner, organization and any custom fields, and returns the created prospect.
Action
Delete listPermanently deletes a list in Overloop. Prospects that were in the list are kept.
Action
Delete organizationPermanently deletes an organization in Overloop.ai. This cannot be undone.
Action
Delete prospectPermanently deletes a prospect from Overloop.ai, along with all of its history (messages, replies). This cannot be undone.
Action
Enroll ProspectEnrolls a prospect into an Overloop campaign or prospect-based workflow, optionally at a specific step or start time.
Action
Exclude ProspectExcludes a prospect from all future outreach by adding their email address (or their whole domain) to the Overloop exclusion list.
Action
Get organizationReturns a single Overloop organization by its ID, including its standard details, lists and any custom field values.
Action
Get prospectReturns a prospect by ID, including its contact details, engagement status, lists and custom field values. An error occurs if the prospect is not found.
Action
List automationsReturns the automations (outbound campaigns and productivity workflows) in your Overloop account, optionally filtered by type, record type or status.
Action
List usersReturns the users on your Overloop.ai account, with their name, email, role and status, optionally filtered to active or disabled users.
Action
Search ListReturns the Overloop lists whose name contains the text you give, optionally limited to prospect or organization lists.
Action
Search OrganizationReturns the organizations in Overloop.ai that match the name, website, email or other details you specify.
Action
Search ProspectReturns the prospects that match the email, name, job title, location or engagement status you specify.
Action
Update listRenames an existing Overloop list and returns the updated list.
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
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Questions
Overloop.ai and Strava, answered
What can start an automation from Overloop.ai?
Any of Overloop.ai's 2 triggers in the catalog, including List Created and New Exclusion List Item. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Strava when something happens in Overloop.ai?
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 Overloop.ai?
Strava has no triggers in the catalog today, so automations start in Overloop.ai. 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 Overloop.ai 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 Overloop.ai 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.