Integration
Connect Gumlet to Nanonets OCR
When New Video Added fires in Gumlet, 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 Gumlet 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 Gumlet can start in Nanonets OCR
When New Video Added in Gumlet
then Add training images by file in Nanonets OCR
When Video Added or Removed From Playlist in Gumlet
then OCR With 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 Gumlet and Nanonets OCR
Triggers and actions 2 triggers · 20 actions
Trigger
New Video AddedTriggers when new video is uploaded on Gumlet.
Trigger
Video Added or Removed From PlaylistTriggers when a video is added or removed from playlist
Action
Create a Live StreamCreates a Gumlet live stream in a live collection and returns the RTMP address, stream key and playback URLs.
Action
Find VideoReturns the videos in a Gumlet workspace that match the title, tags, status, playlist, folder, upload date or length you give.
Action
Get Live StreamFetches a live stream by ID. An error occurs if the live stream is not found.
Action
Get PlaylistFetches a playlist by ID. An error occurs if the playlist is not found.
Action
Get VideoFetches a video by ID. An error occurs if the video is not found.
Action
Invite MemberInvites one or more viewers to a Gumlet members-only channel, emailing each of them an invitation.
Action
List Channel MembersLists the people invited to a video workspace's members-only channel.
Action
List Live CollectionsLists the live stream collections in your Gumlet organisation.
Action
Remove MemberRemoves a channel member
Action
Update/Set TagsUpdate or Add tags to the video
Action
Update TitleUpdate Title of the Video
Action
Upload VideoUpload a video to your Gumlet account.
Action
Add training images by fileUpload training images from local files.
Action
Add training images by URLUpload training images by URLs.
Action
OCR With FileUses Nanonets OCR to extract text
Action
OCR With File (Asynchronous)Uses Nanonets OCR to extract text asynchronously. Results will appear via the trigger
Action
OCR With File (Tables Included)Uses Nanonets OCR to extract text including line items. Results will appear via the trigger
Action
OCR With File (Tables Included) - Document Level ResponseUses Nanonets OCR to extract text including line items. Results will appear via the trigger
Action
OCR With URLSync prediction for image/document URLs.
Action
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
Gumlet and Nanonets OCR, answered
What can start an automation from Gumlet?
Any of Gumlet's 2 triggers in the catalog, including New Video Added and Video Added or Removed From Playlist. 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 Gumlet?
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 Gumlet?
Nanonets OCR has no triggers in the catalog today, so automations start in Gumlet. 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 Gumlet 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 Gumlet 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.