Integration
Connect Rendex to Amazon Textract
When New Completed Screenshot fires in Rendex, your agent runs Analyze Invoice or Receipt in Amazon Textract. 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 Rendex and Amazon Textract 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 Rendex can start in Amazon Textract
When New Completed Screenshot in Rendex
then Analyze Invoice or Receipt in Amazon Textract
When New Completed Screenshot in Rendex
then Ask Questions About a Document in Amazon Textract
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 Rendex and Amazon Textract
Triggers and actions 1 trigger · 16 actions
Trigger
New Completed ScreenshotTriggers when a background screenshot or PDF capture finishes.
Action
Capture ScreenshotCaptures a webpage or HTML as a PNG, JPEG, WebP, or PDF file.
Action
Capture Screenshot (Background)Queues a screenshot or PDF capture as a background job and returns a Job ID.
Action
Create Render LinkCreate a hosted, auto-caching image or PDF link for a URL, HTML, or Markdown — perfect for og:image social preview tags.
Action
Extract Text From a Web PageGet the clean article text (Markdown) from any URL.
Action
Find Website WatchFinds a watch by ID and returns its current status and details.
Action
Generate PDFGenerates a PDF from a webpage or HTML with custom page size, margins, and orientation.
Action
Get AccountReturns the account's plan, usage, and upgrade info.
Action
Get Job StatusFinds a background job by ID and returns its status and result URL.
Action
List Website WatchesReturns all configured website watches for the account.
Action
List Website Watch RunsReturns the run history (check results/changes) for a given website watch.
Action
Run a Check NowTrigger an immediate check of a watch, outside its normal schedule.
Action
Test a Website WatchTry out a watch on a page once, without creating it — check the page can be read and see what Rendex captures before you start monitoring.
Action
Update Website WatchChange a watch's schedule, alerts, or settings — or pause and resume it.
Action
Analyze Invoice or ReceiptReads an invoice or receipt stored in S3 and returns its summary fields (vendor, date, totals) and its line items.
Action
Ask Questions About a DocumentAnswers plain-language questions about a document stored in S3, such as "What is the invoice number?", and returns each answer with its confidence.
Action
Extract Text from DocumentReads the printed and handwritten text in an image or single-page PDF stored in S3 and returns it as plain text and lines.
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
Rendex and Amazon Textract, answered
What can start an automation from Rendex?
Any of Rendex's 1 trigger in the catalog, including New Completed Screenshot. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Amazon Textract when something happens in Rendex?
Any of Amazon Textract's 3 actions, including Analyze Invoice or Receipt, Ask Questions About a Document and Extract Text from Document. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Amazon Textract to Rendex?
Amazon Textract has no triggers in the catalog today, so automations start in Rendex. If you need the other direction, ask: your agent reads Amazon Textract's API documentation and adds it.
Do I have to build a connector for Rendex or Amazon Textract?
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 Rendex and Amazon Textract 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.