Integration
Connect The Old Reader to Micro-SaaS AI Suite
When New item fires in The Old Reader, your agent runs Classify support ticket in Micro-SaaS AI Suite. 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 Micro-SaaS AI Suite 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 Micro-SaaS AI Suite
When New item in The Old Reader
then Classify support ticket in Micro-SaaS AI Suite
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 Micro-SaaS AI Suite
Triggers and actions 1 trigger · 31 actions
- New item
Triggers when a new item arrives in your reading list, a folder or a subscription.
- Add subscription
Subscribes the account to a feed or website by its URL and returns the new subscription's stream id.
- Delete folder
Deletes a folder in The Old Reader and moves its subscriptions to the default folder.
- Delete subscription
Unsubscribes from a feed in The Old Reader.
- Get items
Returns the full contents (title, body, author, feed, read/starred state) of one or more items by their ids.
- Get unread counts
Returns unread item counts for the whole reading list and for each folder, subscription and friend.
- List folders
Returns the list of folders in your The Old Reader account.
- List items
Returns the items (articles) in a stream such as your reading list, starred items, a folder or a subscription.
- List subscriptions
Returns every feed subscription in your The Old Reader account, with each feed's title, folders, site URL and icon.
- Mark all items as read
Marks 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.
- Update folder
Renames a folder in The Old Reader.
- Update item
Updates an item's state: marks it read or unread, starred, liked or shared.
- Update subscription
Renames a subscription or moves it between folders.
- Analyze review sentiment
Analyzes a product review and returns its overall sentiment and the product features it mentions.
- Classify support ticket
Classifies a customer support ticket by category, urgency and customer sentiment, and returns a suggested action and a draft reply.
- Compare product specs
Compares two products' specifications with AI and returns the winner in each category, the key differences, and an overall recommendation.
- Crawl website to markdown
Crawls a website starting from a URL and returns its content converted to markdown, with word and token counts.
- Detect fake review
Scores a product review for authenticity and returns a verdict (Genuine, Suspicious or Bot / Spam) with the risk factors found.
- Enrich B2B company
Returns firmographics, tech stack and decision makers for a company, looked up by its website domain.
- Enrich B2B lead
Enriches a B2B lead with firmographics, an intent score, and a suggested decision maker for the company.
- Generate product copy
Generates an SEO title, description, bullet points and keywords for a product from its name and key features.
- Parse document
Extracts structured data (merchant, date, totals, tax and line items) from a receipt, invoice, business card or general document image at a URL.
- Review PR diff
Reviews a pull request diff for security issues and returns a score, grade, verdict and comments.
- Scan GitHub repo
Scans a public GitHub repository and returns its details, detected tech stack, top contributors as developer leads, and repository health indicators.
- Scrape and extract web page
Scrapes a web page and returns the requested fields extracted into structured data.
- Scrape Google Maps
Searches Google Maps for businesses matching a term in a location and returns the places found, optionally enriched with contact details.
- Scrape Google SERP
Searches Google for a keyword and returns the organic results, People Also Ask questions and sponsored ads.
- Scrape Instagram profile
Scrapes public Instagram data for a profile username, a post URL, or a hashtag and returns the scraped items.
- Scrape Reddit
Scrapes Reddit posts (and optionally their comments) from a post URL, a subreddit, or a keyword search.
- Scrape YouTube Shorts
Returns YouTube Shorts videos from a channel or matching a search keyword.
- Track ecommerce price
Returns the current price, original price, discount, stock status and rating for an ecommerce product page.
- Verify email
Checks an email address for valid format, disposable provider and mail servers, and returns a deliverability score and verdict.
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 Micro-SaaS AI Suite, 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 Micro-SaaS AI Suite when something happens in The Old Reader?
Any of Micro-SaaS AI Suite's 19 actions, including Analyze review sentiment, Classify support ticket, Compare product specs and Crawl website to markdown. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Micro-SaaS AI Suite to The Old Reader?
Micro-SaaS AI Suite has no triggers in the catalog today, so automations start in The Old Reader. If you need the other direction, ask: your agent reads Micro-SaaS AI Suite's API documentation and adds it.
Do I have to build a connector for The Old Reader or Micro-SaaS AI Suite?
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 Micro-SaaS AI Suite 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.