--- title: "Connect Breezy HR to Nano Nets - APIANT.ai" description: "When \"New Candidate\" fires in Breezy HR, your agent runs \"Extract data from file\" in Nano Nets." canonical: "https://apiant.ai/connect/breezy-hr-to-nano-nets" --- # Connect Breezy HR to Nano Nets When **New Candidate** fires in [Breezy HR](https://apiant.ai/connections/breezy-hr), 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. Breezy HR **2** triggers Breezy HR **10** 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 Breezy HR 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 Breezy HR can start in Nano Nets - When **New Candidate** in Breezy HR then **Extract data from file** in Nano Nets - When **New Candidate in Stage** in Breezy HR 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 Breezy HR and Nano Nets ## Triggers and actions 2 triggers · 18 actions - Trigger **New Candidate** Triggers when a new candidate is added to the selected position in Breezy HR. - Trigger **New Candidate in Stage** Triggers when a candidate on the chosen position is in the chosen pipeline stage. - Action **Add candidate note** Adds an internal team note to a candidate's activity stream on a position. The note is not visible to the candidate. - Action **Add position** Creates a new position (job opening) in a Breezy HR company and returns the created position. - Action **Find candidates by criteria** Returns candidates across the whole Breezy HR company that match a free-text search on name, email, phone, headline, tags, questionnaire answers, work history, education or position location. - Action **Get position** Returns a single Breezy HR position with its full details, including name, type, state, location, department, description, application form and salary. - Action **List candidate activity** Returns a candidate's activity stream on a position: stage moves, notes, interviews, documents, questionnaires and other events, newest first. - Action **List candidates** Returns the candidates on a Breezy HR position, with each candidate's name, contact details, pipeline stage, source and score. - Action **List pipelines** Returns the hiring pipelines configured for a Breezy HR company, including each pipeline's stages. - Action **List positions** Returns the positions (job openings) in a Breezy HR company, optionally limited to one state such as published or draft. - Action **Update candidate stage** Moves a candidate to a different stage in their position's hiring pipeline and returns the updated candidate. - Action **Update position** Updates an existing Breezy HR position (job requisition). Only the details you fill in are changed; everything else on the position is left as it is. - 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 - [ **Breezy HR** A uniquely simple, visual recruiting tool and applicant tracking system.](https://apiant.ai/connections/breezy-hr) - [ **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 Breezy HR - [ **Breezy HR to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/breezy-hr-to-hubspot) - [ **Breezy HR to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/breezy-hr-to-salesforce) - [ **Breezy HR to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/breezy-hr-to-slack) - [ **Breezy HR to Google Sheets** Google Sheets](https://apiant.ai/connect/breezy-hr-to-google-sheets) - [ **Breezy HR to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/breezy-hr-to-gmail) - [ **Breezy HR to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/breezy-hr-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](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 ## Breezy HR and Nano Nets, answered ### ### What can start an automation from Breezy HR? Any of Breezy HR's 2 triggers in the catalog, including New Candidate and New Candidate in Stage. 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 Breezy HR? 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 Breezy HR? Nano Nets has no triggers in the catalog today, so automations start in Breezy HR. 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 Breezy HR 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 Breezy HR 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.