---
title: "Connect Cursor to Nano Nets - APIANT.ai"
description: "When \"Agent Pull Request Created\" fires in Cursor, your agent runs \"Extract data from file\" in Nano Nets."
canonical: "https://apiant.ai/connect/cursor-to-nano-nets"
---

# Connect Cursor to Nano Nets

When **Agent Pull Request Created** fires in [Cursor](https://apiant.ai/connections/cursor), 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.

Cursor **3** triggers Cursor **11** 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 Cursor 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 Cursor can start in Nano Nets

- When **Agent Pull Request Created** in Cursor then **Extract data from file** in Nano Nets
- When **New Agent** in Cursor 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 Cursor and Nano Nets

## Triggers and actions 3 triggers · 19 actions

- Trigger

**Agent Pull Request Created**

Triggers when the selected Cursor cloud agent opens a new GitHub pull request.

- Trigger

**Agent Status Equals**

Triggers when a run on the chosen Cursor agent reaches the status you select, such as Finished or Error.

- Trigger

**New Agent**

Triggered when a new Cursor cloud agent is created.

- Action

**Add Followup Instruction to Agent**

Sends a follow-up instruction to an existing Cursor cloud agent, either starting a new run or steering the run in progress. Returns the new run or how the steer was delivered.

- Action

**Cancel run**

Cancels the active run of a Cursor cloud agent. The run ends in the Cancelled state; start a new run to continue the conversation.

- Action

**Delete Agent**

Permanently deletes a Cursor cloud agent. This cannot be undone. Returns the ID of the deleted agent.

- Action

**Find Agent Status**

Looks up a Cursor cloud agent by its ID and returns its status, name, repositories, latest run and link.

- Action

**Get run**

Returns the status, timestamps, duration, final reply and pushed branches for one run of a Cursor cloud agent.

- Action

**Launch Agent**

Creates a Cursor cloud agent and immediately starts its first run on the task you describe. Returns the new agent and its run.

- Action

**List agents**

Returns the Cursor cloud agents for the connected user, newest first, optionally filtered by pull request URL.

- Action

**List artifacts**

Returns the files a Cursor cloud agent has produced, with each file's path, size and last modified time. Returns at most 100 artifacts.

- Action

**List models**

Returns the recommended Cursor models you can choose from when creating an agent, including their names, aliases, parameters and variants.

- Action

**List repositories**

Returns the GitHub repositories the connected Cursor user can access through Cursor's GitHub App installation.

- Action

**List runs**

Returns the runs of a Cursor cloud agent, newest first, including each run's status, duration, and final reply.

- 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

- [ **Cursor** Cursor is an AI-powered code editor that understands your codebase, supports natural-language coding...](https://apiant.ai/connections/cursor)
- [ **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 Cursor

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

## 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 is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](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

## Cursor and Nano Nets, answered

###

### What can start an automation from Cursor?

Any of Cursor's 3 triggers in the catalog, including Agent Pull Request Created, New Agent and Agent Status Equals. 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 Cursor?

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 Cursor?

Nano Nets has no triggers in the catalog today, so automations start in Cursor. 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 Cursor 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 Cursor 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.
