--- title: "Connect Google Tasks to Nano Nets - APIANT.ai" description: "When \"New Task Created\" fires in Google Tasks, your agent runs \"Extract data from file\" in Nano Nets." canonical: "https://apiant.ai/connect/google-tasks-to-nano-nets" --- # Connect Google Tasks to Nano Nets When **New Task Created** fires in [Google Tasks](https://apiant.ai/connections/google-tasks), 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. Google Tasks **5** triggers Google Tasks **16** 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 Google Tasks 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 Google Tasks can start in Nano Nets - When **New Task Created** in Google Tasks then **Extract data from file** in Nano Nets - When **New Task List Created** in Google Tasks 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 Google Tasks and Nano Nets ## Triggers and actions 5 triggers · 24 actions - Trigger **New Task Created** Triggers when a new task is created in a Google Tasks list. Uses timestamp filtering (updatedMin) to efficiently detect new tasks. - Trigger **New Task List Created** Triggers when a new Google Tasks task list is created. This trigger monitors Google Tasks and fires when new task lists are detected. - Trigger **Task Details Changed** Triggers when a specific task's details change. This trigger monitors a single Google Task and fires when any of its details (title, notes, status, due date, completion, position) are modified. - Trigger **Task List Changed** Triggers when a task list changes (title or content updates). This trigger monitors a specific Google Tasks list and fires when changes are detected. - Trigger **Task Updated** Triggers when an existing task is updated in a Google Tasks list. This trigger monitors a specific task list and fires when tasks are modified. - Action **Batch Execute** Executes multiple Google Tasks API operations in a single HTTP batch request and returns structured per-item results. Use this to reduce LLM tool invocations when performing bulk operations like updating many tasks, moving tasks, or deleting multiple items. Note: Each sub-request still counts toward API quota; batching primarily reduces HTTP overhead and tool call count. - Action **Clear Tasks** Permanently clears all completed tasks from a specified google tasks list; this action is destructive and idempotent. - Action **Create Task List** Creates a new task list with the specified title. - Action **Delete Task** Deletes a specified task from a given task list in google tasks. - Action **Delete Task List** Permanently deletes an existing google task list, identified by `tasklist id`, along with all its tasks; this operation is irreversible. - Action **Get Task** Use to retrieve a specific google task if its `task id` and parent `tasklist id` are known. - Action **Get Task List** Retrieves a specific task list from the user's google tasks if the `tasklist id` exists for the authenticated user. - Action **Insert Task** Creates a new task in a given `tasklist id`, optionally as a subtask of an existing `task parent` or positioned after an existing `task previous` sibling, where both `task parent` and `task previous` must belong to the same `tasklist id` if specified. - Action **List Task Lists** Fetches the authenticated user's task lists from google tasks; results may be paginated. - Action **List Tasks** Retrieves tasks from a google tasks list; all date/time strings must be rfc3339 utc, and `showcompleted` must be true if `completedmin` or `completedmax` are specified. - Action **Move Task** Moves the specified task to another position in the destination task list. - Action **Patch Task** Partially updates an existing task (identified by `task id`) within a specific google task list (identified by `tasklist id`), modifying only the provided attributes from `taskinput` (e.g., `title`, `notes`, `due` date, `status`) and requiring both the task and list to exist. - Action **Patch Task List** Updates the title of an existing google tasks task list. - Action **Update Task** Updates the specified task. - Action **Update Task Full** Tool to fully replace an existing Google Task using PUT method. Use when you need to update the entire task resource, not just specific fields. This method requires all required fields (id, title) and replaces the complete task, unlike PATCH which supports partial updates. - Action **Update Task List** Updates the authenticated user's specified task list. - 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 - [ **Google Tasks** Google Tasks provides a simple to-do list and task management system integrated into Gmail and Google...](https://apiant.ai/connections/google-tasks) - [ **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 Google Tasks - [ **Google Tasks to BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connect/google-tasks-to-bigml) - [ **Google Tasks to Grist** Grist combines the flexibility of a spreadsheet with the robustness of a database to organize your data...](https://apiant.ai/connect/google-tasks-to-grist) - [ **Google Tasks to Mistral AI** Mistral AI is a platform for building, customizing, and deploying advanced AI models and agents for...](https://apiant.ai/connect/google-tasks-to-mistral-ai) - [ **Google Tasks to Morgen** Morgen is an all-in-one app for your time management](https://apiant.ai/connect/google-tasks-to-morgen) - [ **Google Tasks to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-tasks-to-hubspot) - [ **Google Tasks to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-tasks-to-salesforce) ## 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 ## Google Tasks and Nano Nets, answered ### ### What can start an automation from Google Tasks? Any of Google Tasks's 5 triggers in the catalog, including New Task Created, New Task List Created, Task Details Changed and Task List Changed. 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 Google Tasks? 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 Google Tasks? Nano Nets has no triggers in the catalog today, so automations start in Google Tasks. 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 Google Tasks 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 Google Tasks 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.