--- title: "Connect Chatter to Nano Nets - APIANT.ai" description: "When \"New Group\" fires in Chatter, your agent runs \"Extract data from file\" in Nano Nets." canonical: "https://apiant.ai/connect/chatter-to-nano-nets" --- # Connect Chatter to Nano Nets When **New Group** fires in [Chatter](https://apiant.ai/connections/chatter), 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. Chatter **2** triggers Chatter **19** 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 Chatter 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 Chatter can start in Nano Nets - When **New Group** in Chatter then **Extract data from file** in Nano Nets - When **New Post** in Chatter 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 Chatter and Nano Nets ## Triggers and actions 2 triggers · 27 actions - Trigger **New Group** Triggers when a new Chatter group is created in the org. - Trigger **New Post** Triggers when a new post appears in the authenticated user's news feed. - Action **Add group** Creates a new Chatter group with a name, visibility and optional description and settings. - Action **Add Member to Group** Add a user as a member of a Chatter group. - Action **Create Post** Create a new Chatter feed post on a user's profile feed (defaults to the authenticated user). - Action **Create Post in Group** Create a new Chatter feed post in the specified group. - Action **Delete comment** Deletes a comment from a Chatter post. - Action **Delete group** Deletes a Chatter group. - Action **Delete post** Deletes a Chatter post (feed element). - Action **Find users by name** Returns the Chatter users whose names match the search text. - Action **Get group** Returns the details of a Chatter group, including its name, description, visibility, owner and member count. - Action **Get My User Info** Get profile information for the authenticated Chatter user. - Action **Get user** Returns a Chatter user's profile details, such as name, title, company, photo and follower counts. - Action **Like Feed Element** Like a Chatter feed element (post). - Action **List group members** Returns the members of a Chatter group, with each member's role and user details. - Action **List Groups** List the Chatter groups in the org. - Action **Post Comment** Add a comment to an existing Chatter feed element (post). - Action **Remove member from group** Removes a member from a Chatter group by deleting their group membership. - Action **Search Feed** Search Chatter feed elements matching a text query. - Action **Update group** Updates a Chatter group's name, description, information section, visibility, owner, archive and broadcast settings. Only the values you fill in are changed. - Action **Update post** Edits the text of an existing Chatter post. - 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 - [ **Chatter** Salesforce Chatter — post to feeds, comment, like, manage groups, and read news/group feeds via the...](https://apiant.ai/connections/chatter) - [ **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 Chatter - [ **Chatter to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/chatter-to-hubspot) - [ **Chatter to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/chatter-to-salesforce) - [ **Chatter to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/chatter-to-slack) - [ **Chatter to Google Sheets** Google Sheets](https://apiant.ai/connect/chatter-to-google-sheets) - [ **Chatter to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/chatter-to-gmail) - [ **Chatter to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/chatter-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 ## Chatter and Nano Nets, answered ### ### What can start an automation from Chatter? Any of Chatter's 2 triggers in the catalog, including New Group and New Post. 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 Chatter? 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 Chatter? Nano Nets has no triggers in the catalog today, so automations start in Chatter. 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 Chatter 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 Chatter 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.