# Connect Hero Parser to Nanonets OCR When **New Candidate** fires in [Hero Parser](https://apiant.ai/connections/hero-parser), your agent runs **Add training images by file** in [Nanonets OCR](https://apiant.ai/connections/nanonets-ocr). Describe the whole flow and it is built, tested on every scenario and kept running. Hero Parser **2** triggers Hero Parser **12** actions Nanonets OCR **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 Hero Parser and Nanonets OCR to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 Hero Parser can start in Nanonets OCR - When **New Candidate** in Hero Parser then **Add training images by file** in Nanonets OCR - When **New Recruitment** in Hero Parser then **OCR With File** in Nanonets OCR 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 Hero Parser and Nanonets OCR ## Triggers and actions 2 triggers · 20 actions - Trigger **New Candidate** Triggers when a new candidate is created (CV parsed). - Trigger **New Recruitment** Triggers when a new recruitment is created. - Action **Create Recruitment** Create a Recruitment in the system. - Action **Delete resumes** Delete resumes for a recruitment. - Action **Get candidate** Get candidate details by id. - Action **Get recruitment** Get recruitment details by id. - Action **List candidates** Get list of candidates by recruitment. - Action **List recruitments** Get the recruitments list. - Action **List resumes** Get list of resumes by recruitment. - Action **Process resumes** Process selected resumes for a recruitment (AI parsing). - Action **Send candidate feedback** Send feedback to selected candidates. - Action **Update candidate status** Change status for selected candidates. - Action **Update recruitment** Edit an existing recruitment. - Action **Upload CV** Upload a CV to existing recruitment. - Action **Add training images by file** Upload training images from local files. - Action **Add training images by URL** Upload training images by URLs. - Action **OCR With File** Uses Nanonets OCR to extract text - Action **OCR With File (Asynchronous)** Uses Nanonets OCR to extract text asynchronously. Results will appear via the trigger - Action **OCR With File (Tables Included)** Uses Nanonets OCR to extract text including line items. Results will appear via the trigger - Action **OCR With File (Tables Included) - Document Level Response** Uses Nanonets OCR to extract text including line items. Results will appear via the trigger - Action **OCR With URL** Sync prediction for image/document URLs. - Action **OCR With URL (Asynchronous)** Async prediction for public file URLs. ## Each app on its own - [ **Hero Parser** Hero Parser is an AI-powered CV parser and candidate scoring tool.](https://apiant.ai/connections/hero-parser) - [ **Nanonets OCR** Nanonets OCR provides intelligent information extraction on any document or image](https://apiant.ai/connections/nanonets-ocr) Reviews ## What our customers say ## More from Hero Parser - [ **Hero Parser to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hero-parser-to-hubspot) - [ **Hero Parser to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/hero-parser-to-salesforce) - [ **Hero Parser to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/hero-parser-to-slack) - [ **Hero Parser to Google Drive** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/hero-parser-to-google-drive) - [ **Hero Parser to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/hero-parser-to-mailchimp) - [ **Hero Parser to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/hero-parser-to-stripe) ## More into Nanonets OCR - [ **HubSpot to Nanonets OCR** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-nanonets-ocr) - [ **Salesforce to Nanonets OCR** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-nanonets-ocr) - [ **Slack to Nanonets OCR** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-nanonets-ocr) - [ **Google Sheets to Nanonets OCR** Google Sheets](https://apiant.ai/connect/google-sheets-to-nanonets-ocr) - [ **Gmail to Nanonets OCR** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-nanonets-ocr) - [ **Google Calendar to Nanonets OCR** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-nanonets-ocr) Questions ## Hero Parser and Nanonets OCR, answered ### ### What can start an automation from Hero Parser? Any of Hero Parser's 2 triggers in the catalog, including New Candidate and New Recruitment. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Nanonets OCR when something happens in Hero Parser? Any of Nanonets OCR's 8 actions, including Add training images by file, Add training images by URL, OCR With File and OCR With File (Asynchronous). Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Nanonets OCR to Hero Parser? Nanonets OCR has no triggers in the catalog today, so automations start in Hero Parser. If you need the other direction, ask: your agent reads Nanonets OCR's API documentation and adds it. ### ### Do I have to build a connector for Hero Parser or Nanonets OCR? 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. ### ### 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.