---
title: "Connect The Old Reader to Nano Nets - APIANT.ai"
description: "When \"New item\" fires in The Old Reader, your agent runs \"Extract data from file\" in Nano Nets."
canonical: "https://apiant.ai/connect/the-old-reader-to-nano-nets"
---

# Connect The Old Reader to Nano Nets

When **New item** fires in [The Old Reader](https://apiant.ai/connections/the-old-reader), your agent runs **Extract data from file** in [Nano Nets](https://apiant.ai/connections/nano-nets). Describe the whole flow and it is built, tested on every scenario and kept running.

The Old Reader **1** trigger The Old Reader **12** actions Nano Nets **8** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want The Old Reader and Nano Nets to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What The Old Reader can start in Nano Nets

- When **New item** in The Old Reader then **Extract data from file** in Nano Nets
- When **New item** in The Old Reader then **Extract data from file asynchronously** in Nano Nets

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 Nano Nets

## Triggers and actions 1 trigger · 20 actions

- Trigger

**New item**

Triggers when a new item arrives in your reading list, a folder or a subscription.

- Action

**Add subscription**

Subscribes the account to a feed or website by its URL and returns the new subscription's stream id.

- Action

**Delete folder**

Deletes a folder in The Old Reader and moves its subscriptions to the default folder.

- Action

**Delete subscription**

Unsubscribes from a feed in The Old Reader.

- Action

**Get items**

Returns the full contents (title, body, author, feed, read/starred state) of one or more items by their ids.

- Action

**Get unread counts**

Returns unread item counts for the whole reading list and for each folder, subscription and friend.

- Action

**List folders**

Returns the list of folders in your The Old Reader account.

- Action

**List items**

Returns the items (articles) in a stream such as your reading list, starred items, a folder or a subscription.

- Action

**List subscriptions**

Returns every feed subscription in your The Old Reader account, with each feed's title, folders, site URL and icon.

- Action

**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.

- Action

**Update folder**

Renames a folder in The Old Reader.

- Action

**Update item**

Updates an item's state: marks it read or unread, starred, liked or shared.

- Action

**Update subscription**

Renames a subscription or moves it between folders.

- Action

**Add training images**

Uploads training images to a Nanonets OCR model from public image URLs, along with their labelled field annotations, and returns the model's updated state.

- Action

**Extract data from file**

Uploads a document to a Nanonets OCR model and returns the extracted fields and tables for each page. Best for files of three pages or fewer.

- Action

**Extract data from file asynchronously**

Uploads a document to a Nanonets OCR model for background processing and returns the file's request ID; the extracted data is fetched later once processing completes.

- Action

**Extract data from file URL**

Extracts data from a publicly hosted document or image using your Nanonets OCR model and returns the predicted fields and tables.

- Action

**Extract data from file URL asynchronously**

Submits a publicly hosted file to a Nanonets OCR model for asynchronous processing and returns the queued file's ids; fetch the extracted data later with Get prediction file.

- Action

**Get Model**

Returns a Nanonets OCR model's details: its type, training state and the fields (categories) it extracts.

- Action

**Get prediction file**

Returns the prediction results for one processed file, including the model's initial predictions, any review changes, and approval status.

- Action

**List prediction files**

Returns the prediction results for every file uploaded to an OCR model within a date range, split into approved and not-yet-approved pages.

## Each app on its own

- [ **The Old Reader** RSS reader](https://apiant.ai/connections/the-old-reader)
- [ **Nano Nets** AI platform for extracting data from documents and automating workflows like invoice and claims processing.](https://apiant.ai/connections/nano-nets)

Reviews

## What our customers say

## More from The Old Reader

- [ **The Old Reader to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/the-old-reader-to-trello)
- [ **The Old Reader to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/the-old-reader-to-zoom)
- [ **The Old Reader to Twilio** Cloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...](https://apiant.ai/connect/the-old-reader-to-twilio)
- [ **The Old Reader to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/the-old-reader-to-typeform)
- [ **The Old Reader to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/the-old-reader-to-webflow)
- [ **The Old Reader to Wix** The Wix website builder gives businesses of any size the tools to create, manage and grow a fully integrated...](https://apiant.ai/connect/the-old-reader-to-wix)

## More into Nano Nets

- [ **HubSpot to Nano Nets** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-nano-nets)
- [ **Salesforce to Nano Nets** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-nano-nets)
- [ **Slack to Nano Nets** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-nano-nets)
- [ **Google Sheets to Nano Nets** Google Sheets](https://apiant.ai/connect/google-sheets-to-nano-nets)
- [ **Gmail to Nano Nets** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-nano-nets)
- [ **Google Calendar to Nano Nets** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-nano-nets)

Questions

## The Old Reader and Nano Nets, 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 Nano Nets when something happens in The Old Reader?

Any of Nano Nets's 8 actions, including Add training images, Extract data from file, Extract data from file asynchronously and Extract data from file URL. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Nano Nets to The Old Reader?

Nano Nets has no triggers in the catalog today, so automations start in The Old Reader. If you need the other direction, ask: your agent reads Nano Nets's API documentation and adds it.

###

### Do I have to build a connector for The Old Reader or Nano Nets?

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 Nano Nets 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.
