Integration
Connect Memberstack to Nanonets OCR
When Member's Plan Added fires in Memberstack, 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 Memberstack and Nanonets OCR to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Memberstack can start in Nanonets OCR
When Member's Plan Added in Memberstack
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 Memberstack and Nanonets OCR
Triggers and actions 6 triggers · 12 actions
- Member Deleted
Triggered instantly when a Memberstack member is deleted (member.deleted). In Memberstack go to Dev tools > Webhooks > Endpoints, add the minted webhook URL, and filter the endpoint to the member.deleted event.
- Member's Plan Added
Triggered instantly when a plan is added to a Memberstack member (member.plan.added). In Memberstack go to Dev tools > Webhooks > Endpoints, add the minted webhook URL, and filter the endpoint to the member.plan.added event.
- Member's Plan Canceled
Triggered instantly when a plan is canceled or removed from a Memberstack member (member.plan.updated / member.plan.canceled). In Memberstack go to Dev tools > Webhooks > Endpoints, add the minted webhook URL, and filter the endpoint to the plan cancellation event.
- Member's Plan Updated
Triggered instantly when a Memberstack member plan connection changes (member.plan.updated). In Memberstack go to Dev tools > Webhooks > Endpoints, add the minted webhook URL, and filter the endpoint to the member.plan.updated event.
- Member Updated
Triggered instantly when a Memberstack member's data changes (member.updated). In Memberstack go to Dev tools > Webhooks > Endpoints, add the minted webhook URL, and filter the endpoint to the member.updated event.
- New Member
Triggered instantly when a new Memberstack member signs up (member.created). In Memberstack go to Dev tools > Webhooks > Endpoints, add the minted webhook URL, and filter the endpoint to the member.created event.
- Create Member
Creates a member with no plans or a free plan.
- Delete Member
Deletes a member.
- Find Member
Lookup a member by id.
- Update Member
Updates a member.
- 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
Memberstack and Nanonets OCR, answered
What can start an automation from Memberstack?
Any of Memberstack's 6 triggers in the catalog, including Member's Plan Added, Member's Plan Updated, Member Updated and New Member. 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 Memberstack?
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 Memberstack?
Nanonets OCR has no triggers in the catalog today, so automations start in Memberstack. 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 Memberstack 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.
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.