Integration
Connect OptiPub to Tavily
When Feedback Loop fires in OptiPub, your agent runs Create research task in Tavily. 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 Tavily 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 Tavily
When Feedback Loop in OptiPub
then Create research task in Tavily
When Hard Bounce in OptiPub
then Get research task status in Tavily
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 Tavily
Triggers and actions 5 triggers · 15 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
CrawlCrawls a website starting from one address and returns the content of the pages it finds.
Action
Create research taskStarts a Tavily research task for a question you supply and returns its ID and status. Use the ID with Get research task status to collect the finished report.
Action
ExtractReads one or more web pages and returns their content as markdown or plain text, plus any addresses that could not be read.
Action
Get research task statusChecks a Tavily research task by its ID and returns its current status, and the finished report with its sources once the task is complete.
Action
Get usageReturns how many Tavily credits have been used this billing cycle, for both the API key and the account, along with the plan limits and a breakdown per feature.
Action
MapMaps a website starting from an address you supply and returns the list of pages found, without pulling their content.
Action
SearchSearches the web for a query you supply and returns ranked results with titles, addresses and snippets, plus an optional written answer.
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 Tavily, 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 Tavily when something happens in OptiPub?
Any of Tavily's 7 actions, including Create research task, Crawl, Extract and Get research task status. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tavily to OptiPub?
Tavily has no triggers in the catalog today, so automations start in OptiPub. If you need the other direction, ask: your agent reads Tavily's API documentation and adds it.
Do I have to build a connector for OptiPub or Tavily?
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 Tavily 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.