Integration
Connect Nimbata to Azure Form Recognizer
When New form submission fires in Nimbata, your agent runs Analyze Invoice in Azure Form Recognizer. 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 Nimbata and Azure Form Recognizer 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 Nimbata can start in Azure Form Recognizer
When New form submission in Nimbata
then Analyze Invoice in Azure Form Recognizer
When New form submission in Nimbata
then Analyze Document in Azure Form Recognizer
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 Nimbata and Azure Form Recognizer
Triggers and actions 1 trigger · 16 actions
Trigger
New form submissionTriggers when a new form submission is received in a Nimbata project.
Action
Add tagCreates a new tag in a tag category of a Nimbata project, ready to be applied to calls and form submissions.
Action
Add tags to callAdds one or more tags to a call and keeps the tags it already has. Returns the call's full list of tag IDs after the change.
Action
Get callReturns an inbound call's details, including its attribution, call-flow information and custom field values.
Action
Get leadReturns one lead with its phone numbers, emails, and first and last interaction details. If the lead was merged into another, returns the surviving lead.
Action
Get tracking numberReturns one tracking number from a project, looked up by its ID or phone number, including its status, line type, country, call flow and tracking source.
Action
List callsReturns the inbound and outbound calls of a project, newest first, optionally narrowed by date range, caller, tracking number, outcome or campaign.
Action
List form submissionsReturns the form submissions recorded in a Nimbata project, optionally narrowed by form, date range, attribution, device, tag or value.
Action
List leadsReturns the identified leads in a Nimbata project, most recent interaction first, optionally narrowed to one phone number or email address.
Action
List SMS messagesReturns a project's SMS messages, newest first, optionally filtered by date range, direction, status or phone number.
Action
List tracking numbersReturns the tracking numbers in a Nimbata project, optionally narrowed by a name or phone number search.
Action
Analyze DocumentAnalyzes a document with a prebuilt or custom model (layout, invoice, receipt, ID, tax form and more) and returns its text, fields, tables and key-value pairs.
Action
Analyze InvoiceExtracts the key details of an invoice: vendor, customer, invoice number, dates, totals, tax and line items.
Action
Analyze ReceiptExtracts the key details of a sales receipt: merchant, date and time, subtotal, tax, tip, total and line items.
Action
Extract Document LayoutExtracts the text, tables, paragraphs and structure of a document, optionally as Markdown.
Action
Get Document ModelReturns a document model's details, including the document types it recognizes and the fields each one extracts.
Action
List Document ModelsReturns the prebuilt and custom document models available in your resource.
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
Nimbata and Azure Form Recognizer, answered
What can start an automation from Nimbata?
Any of Nimbata's 1 trigger in the catalog, including New form submission. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure Form Recognizer when something happens in Nimbata?
Any of Azure Form Recognizer's 6 actions, including Analyze Document, Analyze Invoice, Analyze Receipt and Extract Document Layout. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure Form Recognizer to Nimbata?
Azure Form Recognizer has no triggers in the catalog today, so automations start in Nimbata. If you need the other direction, ask: your agent reads Azure Form Recognizer's API documentation and adds it.
Do I have to build a connector for Nimbata or Azure Form Recognizer?
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 Nimbata and Azure Form Recognizer 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.