Integration
Connect Exercise.com to Wikipedia
When New Client fires in Exercise.com, your agent runs Find pages by search term in Wikipedia. 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 Exercise.com and Wikipedia 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 Exercise.com can start in Wikipedia
When New Client in Exercise.com
then Find pages by search term in Wikipedia
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 Exercise.com and Wikipedia
Triggers and actions 6 triggers · 21 actions
- List Staff
Triggers when a new staff member becomes available to be assigned tasks.
- New Client
Triggers when a new user (client) is created in Exercise.com.
- New Invoice
Triggers when a new invoice is created.
- New Plan Purchased
Triggers when a member purchases a package or plan.
- New Staff Task
Triggers when a new staff task is created.
- Session Booked
Triggers when a member books a session (a new visit appears).
- Create Staff Task
Creates a staff task assigned to a staff member, optionally about a member or staff user.
- Delete Staff Task
Deletes a staff task.
- Find User
Finds an Exercise.com user by user ID and returns the profile, or nothing when no user matches.
- Get Staff Task
Returns one staff task with its assignee, status and due time.
- Get User
Returns one Exercise.com user's profile: name, contact details, address and body measurements.
- List Invoices
Lists invoices, optionally for one user or filtered by status or overdue.
- List Packages
Lists the packages (memberships and service bundles) you sell.
- List Staff Tasks
Lists staff tasks, optionally filtered by assignee, status or due-date range.
- List User Packages
Lists the packages members hold, with status, billing and renewal dates.
- List Users
Lists Exercise.com users, newest first, optionally filtered by creation date, IDs or location.
- List Visits
Lists member visits (bookings and check-ins), optionally for one user or a date range.
- Update Staff Task
Updates a staff task; only the fields you supply change.
- Update User
Updates a user's profile; only the fields you supply change. Email cannot be changed.
- Convert HTML to wikitext
Convert rendered HTML back into raw wikitext markup.
- Convert wikitext to HTML
Convert raw wikitext markup into rendered HTML.
- Find pages by search term
Search for pages matching a search term and return matching titles with excerpts.
- Get citation data
Get formatted citation data for an article in a given citation style.
- Get page HTML
Get the latest rendered HTML content of a page.
- Get page summary
Get a page's title, extract/description, thumbnail, and basic metadata.
- Get random page
Get a random page's summary from the wiki.
- List page media
List the media files (images, audio, video) used on a page.
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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More into Wikipedia
Questions
Exercise.com and Wikipedia, answered
What can start an automation from Exercise.com?
Any of Exercise.com's 6 triggers in the catalog, including New Client, New Invoice, New Plan Purchased and New Staff Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wikipedia when something happens in Exercise.com?
Any of Wikipedia's 8 actions, including Convert HTML to wikitext, Convert wikitext to HTML, Find pages by search term and Get citation data. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wikipedia to Exercise.com?
Wikipedia has no triggers in the catalog today, so automations start in Exercise.com. If you need the other direction, ask: your agent reads Wikipedia's API documentation and adds it.
Do I have to build a connector for Exercise.com or Wikipedia?
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 Exercise.com and Wikipedia 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.