--- title: "Connect Trengo to Nano Nets - APIANT.ai" description: "When \"New Internal Note\" fires in Trengo, your agent runs \"Extract data from file\" in Nano Nets." canonical: "https://apiant.ai/connect/trengo-to-nano-nets" --- # Connect Trengo to Nano Nets When **New Internal Note** fires in [Trengo](https://apiant.ai/connections/trengo), 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. Trengo **3** triggers Trengo **15** 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 Trengo 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 Trengo can start in Nano Nets - When **New Internal Note** in Trengo then **Extract data from file** in Nano Nets - When **New Outbound Message** in Trengo 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 Trengo and Nano Nets ## Triggers and actions 3 triggers · 23 actions - Trigger **New Internal Note** Fires when an internal note is added to a Trengo ticket. - Trigger **New Outbound Message** Triggers when an outbound message is created. - Trigger **Ticket Label Added** Triggers when a label is added to a conversation. - Action **Add internal note to ticket** Adds an internal note (visible only to agents) to a Trengo ticket. - Action **Add ticket** Create a new support ticket. - Action **Add ticket label** Attaches an existing label to a Trengo ticket. - Action **Create a Contact** Creates a contact on a Trengo channel. If a contact with the same identifier already exists on that channel, Trengo returns the existing contact instead of creating a duplicate. - Action **Create webhook** Subscribes a URL to one Trengo webhook event type. Used by Trengo instant triggers to register their delivery URL on activation. - Action **Delete contact** Delete a contact by id. - Action **Delete ticket** Delete a ticket by id. - Action **Find a Contact** Returns the Trengo contacts that match the search term. - Action **Get contact** Retrieve a single Trengo contact by its id. - Action **Get webhook** Fetches a webhook by ID, including the event it listens for, the address it sends to and its signing secret. An error occurs if the webhook is not found. - Action **List contacts** List all contacts. - Action **List labels** Lists the ticket labels defined in the Trengo account (first page). - Action **List tickets** Returns all tickets the connected user is authorized to see, optionally filtered by status, contact, users, channels, labels, last message type or update time. - Action **Send a Message** Sends a reply message on an existing Trengo ticket, over the ticket's own channel. - Action **Update contact** Update an existing contact by id. - 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 - [ **Trengo** Trengo is a team collaboration tool to manage conversations from channels such as web chat, email and...](https://apiant.ai/connections/trengo) - [ **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 Trengo - [ **Trengo to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/trengo-to-zoom) - [ **Trengo to Twilio** Cloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...](https://apiant.ai/connect/trengo-to-twilio) - [ **Trengo to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/trengo-to-typeform) - [ **Trengo to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/trengo-to-webflow) - [ **Trengo 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/trengo-to-wix) - [ **Trengo to LinkedIn** LinkedIn is a professional networking platform enabling job seekers, companies, and thought leaders to...](https://apiant.ai/connect/trengo-to-linkedin) ## 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 ## Trengo and Nano Nets, answered ### ### What can start an automation from Trengo? Any of Trengo's 3 triggers in the catalog, including New Internal Note, New Outbound Message and Ticket Label Added. 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 Trengo? 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 Trengo? Nano Nets has no triggers in the catalog today, so automations start in Trengo. 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 Trengo 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 Trengo 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.