Integration
Connect iLovePDF to Kalent
When New Completed Task fires in iLovePDF, your agent runs Enrich LinkedIn contact in Kalent. 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 iLovePDF and Kalent 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 iLovePDF can start in Kalent
When New Completed Task in iLovePDF
then Enrich LinkedIn contact in Kalent
When New Completed Task in iLovePDF
then Add sourcing in Kalent
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 iLovePDF and Kalent
Triggers and actions 1 trigger · 23 actions
Trigger
New Completed TaskTriggers when an iLovePDF task (compress, merge, split, OCR and the other tools) finishes successfully, optionally only for one tool.
Action
Audit PDF FileDownloads the audit trail PDF of a signature request.
Action
Compress PDFCompresses a PDF from a public URL and returns the compressed file.
Action
Download Original FilesDownloads the original, unsigned files of a signature request.
Action
Download Signed FilesDownloads the signed file of a completed signature request (a ZIP when it held several files).
Action
Merge PDFCombines two PDFs from public URLs into one PDF and returns it.
Action
Ocr PDFRuns OCR on a scanned PDF from a public URL and returns a searchable PDF.
Action
Office to PDFConverts an Office document (DOC, DOCX, PPT, XLS, ODT and similar) from a public URL into a PDF and returns it.
Action
PDF to PDF/AConverts a PDF from a public URL into PDF/A for archiving and returns it.
Action
Protect PDFPassword-protects a PDF from a public URL and returns the protected file.
Action
Send ReminderSends a reminder email to every signer of a signature request who has not signed yet.
Action
Send Signature RequestSends a PDF from a public URL to a signer by email for a legally binding e-signature.
Action
Unlock PDFRemoves password security from a PDF at a public URL and returns the unlocked file.
Action
Add sourcingCreate an empty sourcing campaign.
Action
Add talent to sourcingLink a talent to a sourcing as a candidate.
Action
Delete candidate from sourcingRemove a candidate from a sourcing (sets NOT_RETAINED).
Action
Enrich LinkedIn contactStart contact enrichment from a LinkedIn profile URL.
Action
Find qualified talentsStart an async qualified search from filters plus criteria (green/amber/red verdicts).
Action
Find talentsSearch professional profiles by structured filters (title, location, skills, etc).
Action
Find talents by promptSearch profiles from a natural-language description.
Action
Get candidateFetch a candidate with talent profile and contact flags.
Action
List candidatesPaginated candidates for a sourcing.
Action
List sourcingsPaginated sourcings for the workspace.
Action
Update candidate statusChange candidate status in a sourcing.
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
iLovePDF and Kalent, answered
What can start an automation from iLovePDF?
Any of iLovePDF's 1 trigger in the catalog, including New Completed Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Kalent when something happens in iLovePDF?
Any of Kalent's 11 actions, including Update candidate status, Add sourcing, Add talent to sourcing and Enrich LinkedIn contact. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Kalent to iLovePDF?
Kalent has no triggers in the catalog today, so automations start in iLovePDF. If you need the other direction, ask: your agent reads Kalent's API documentation and adds it.
Do I have to build a connector for iLovePDF or Kalent?
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 iLovePDF and Kalent 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.