Integration
Connect OptiPub to Wikipedia
When Feedback Loop fires in OptiPub, 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 OptiPub 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)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 OptiPub can start in Wikipedia
When Feedback Loop in OptiPub
then Find pages by search term in Wikipedia
When Hard Bounce in OptiPub
then Get page HTML 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 OptiPub and Wikipedia
Triggers and actions 5 triggers · 16 actions
Trigger
Feedback LoopTriggers when an OptiPub email message receives a spam (feedback loop) complaint.
Trigger
Hard BounceTriggers when an OptiPub email message receives a bounce.
Trigger
List-UnsubscribeTriggers when a recipient uses the list-unsubscribe header on an OptiPub email message.
Trigger
SubscribeTriggers when a new subscription is created in OptiPub.
Trigger
UnsubscribeTriggers when an OptiPub subscription is cancelled.
Action
Add Email to SegmentAdds an email address to an OptiPub segment.
Action
Cancel SubscriptionCancels a subscriber's subscription to an OptiPub publication by email.
Action
Create ResourceCreates a content resource (article) in an OptiPub publication.
Action
Create SubscriptionCreates a subscription to an OptiPub publication for an email address.
Action
Find SubscriberReturns an OptiPub subscriber by ID or email, with their emails and subscriptions.
Action
Remove Email From SegmentRemoves an email address from an OptiPub segment.
Action
Remove Tag From SubscriberRemoves tags from an OptiPub subscriber by tag name.
Action
Send EmailSends or schedules an HTML email message to OptiPub segments, or a test send to email addresses.
Action
Convert HTML to wikitextConvert rendered HTML back into raw wikitext markup.
Action
Convert wikitext to HTMLConvert raw wikitext markup into rendered HTML.
Action
Find pages by search termSearch for pages matching a search term and return matching titles with excerpts.
Action
Get citation dataGet formatted citation data for an article in a given citation style.
Action
Get page HTMLGet the latest rendered HTML content of a page.
Action
Get page summaryGet a page's title, extract/description, thumbnail, and basic metadata.
Action
Get random pageGet a random page's summary from the wiki.
Action
List page mediaList 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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Questions
OptiPub and Wikipedia, answered
What can start an automation from OptiPub?
Any of OptiPub's 5 triggers in the catalog, including Feedback Loop, Hard Bounce, List-Unsubscribe and Subscribe. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wikipedia when something happens in OptiPub?
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 OptiPub?
Wikipedia has no triggers in the catalog today, so automations start in OptiPub. 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 OptiPub 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 OptiPub 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.