Integration
Connect FormHug to Nanonets OCR
When New Or Updated Submission fires in FormHug, your agent runs Add training images by file in Nanonets OCR. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want FormHug and Nanonets OCR to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What FormHug can start in Nanonets OCR
When New Or Updated Submission in FormHug
then Add training images by 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 FormHug and Nanonets OCR
Triggers and actions 1 trigger · 19 actions
- New Or Updated Submission
Triggers when a submission is created or edited on the chosen form.
- Add entry
Creates a new entry (submission) on one of your FormHug forms.
- Add folder
Creates a new folder for organizing forms, at the root or inside an existing folder.
- Add form
Creates a new FormHug form, optionally with initial questions, locale, timezone, folder and header theme.
- Get current user
Returns the FormHug user associated with the connected account, including their billing account and current subscription plan.
- Get entry
Returns one submitted entry of a form, including every answer keyed by the form field's API code.
- Get form
Returns a form's details, including its name, settings, folder and the full list of its fields.
- List entries
Returns the entries (submissions) of one of your forms, optionally filtered and sorted.
- List folders
Returns all folders owned by the connected FormHug user, newest first.
- List forms
Returns the forms you created or that were shared with you, optionally filtered by name or folder.
- Update entry
Updates an existing entry on a form. Only the fields you supply change; all other answers stay as they are.
- Update form
Updates a form's name, description, locale, timezone, layout or question list. Only the values you provide are changed.
- Add training images by file
Upload training images from local files.
- Add training images by URL
Upload training images by URLs.
- OCR With File
Uses Nanonets OCR to extract text
- OCR With File (Asynchronous)
Uses Nanonets OCR to extract text asynchronously. Results will appear via the trigger
- OCR With File (Tables Included)
Uses Nanonets OCR to extract text including line items. Results will appear via the trigger
- OCR With File (Tables Included) - Document Level Response
Uses Nanonets OCR to extract text including line items. Results will appear via the trigger
- OCR With URL
Sync prediction for image/document URLs.
- OCR With URL (Asynchronous)
Async prediction for public file URLs.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
FormHug and Nanonets OCR, answered
What can start an automation from FormHug?
Any of FormHug's 1 trigger in the catalog, including New Or Updated Submission. 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 FormHug?
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 FormHug?
Nanonets OCR has no triggers in the catalog today, so automations start in FormHug. 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 FormHug 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.
Can my AI client use FormHug and Nanonets OCR 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.