Integration
Connect The Old Reader to Tavily
When New item fires in The Old Reader, 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 The Old Reader 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)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 The Old Reader can start in Tavily
When New item in The Old Reader
then Create research task in Tavily
When New item in The Old Reader
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 The Old Reader and Tavily
Triggers and actions 1 trigger · 19 actions
Trigger
New itemTriggers when a new item arrives in your reading list, a folder or a subscription.
Action
Add subscriptionSubscribes the account to a feed or website by its URL and returns the new subscription's stream id.
Action
Delete folderDeletes a folder in The Old Reader and moves its subscriptions to the default folder.
Action
Delete subscriptionUnsubscribes from a feed in The Old Reader.
Action
Get itemsReturns the full contents (title, body, author, feed, read/starred state) of one or more items by their ids.
Action
Get unread countsReturns unread item counts for the whole reading list and for each folder, subscription and friend.
Action
List foldersReturns the list of folders in your The Old Reader account.
Action
List itemsReturns the items (articles) in a stream such as your reading list, starred items, a folder or a subscription.
Action
List subscriptionsReturns every feed subscription in your The Old Reader account, with each feed's title, folders, site URL and icon.
Action
Mark all items as readMarks all items in a stream (everything, a folder, a subscription or a friend's shares) as read, optionally only those older than a given time.
Action
Update folderRenames a folder in The Old Reader.
Action
Update itemUpdates an item's state: marks it read or unread, starred, liked or shared.
Action
Update subscriptionRenames a subscription or moves it between folders.
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
The Old Reader and Tavily, answered
What can start an automation from The Old Reader?
Any of The Old Reader's 1 trigger in the catalog, including New item. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Tavily when something happens in The Old Reader?
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 The Old Reader?
Tavily has no triggers in the catalog today, so automations start in The Old Reader. 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 The Old Reader 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 The Old Reader 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.