Integration
Connect NetHunt CRM to Lido
When New Call Log fires in NetHunt CRM, your agent runs Extract Data From File in Lido. 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 NetHunt CRM and Lido 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 NetHunt CRM can start in Lido
When New Call Log in NetHunt CRM
then Extract Data From File in Lido
When New Comment in NetHunt CRM
then Generate extraction config in Lido
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 NetHunt CRM and Lido
Triggers and actions 8 triggers · 11 actions
Trigger
New Call LogTriggered when a new call log is added to a record in the specified folder.
Trigger
New CommentTriggered when a new comment is added to a record in the specified folder.
Trigger
New folderTriggered when a new folder is added.
Trigger
New Google Drive File in FolderPolls a NetHunt folder for newly attached Google Drive files linked to its records. Input: folder_id. Returns the list of new Google Drive file attachments.
Trigger
New or Updated Record in FolderTriggered when a record is created or updated in the specified folder.
Trigger
New Record in FolderTriggered when a record is created in the specified folder.
Trigger
Two-way sync new or updated records in folderA trigger for two-way syncing new and updated records in a specified folder, with enhanced on-the-fly mapping. Can only be used with enhanced two-way sync actions that support on-the-fly mapping.
Trigger
Updated Record in FolderTriggered when a record is updated in the specified folder.
Action
Add Call LogAdd a call log to the specified record.
Action
Add CommentAdd a comment to the specified record.
Action
Delete RecordDelete a record by ID.
Action
Find RecordSearch records in a folder by ID or text query.
Action
Find record by field valueFinds one record in a NetHunt folder by matching a field value, and projects the record's fields map alongside record_id / id / created_at.
Action
List Folder FieldsList the fields of a folder.
Action
List Readable FoldersList all folders the user can read.
Action
List Writable FoldersList folders the user can create records in.
Action
Extract Data From FileStarts an AI extraction job that pulls the requested columns out of a document or image, and returns the job id to fetch results with.
Action
Find Extraction ResultReturns the status and extracted data rows of a Lido data extraction job.
Action
Generate extraction configAsks Lido to suggest an extraction configuration (columns, instructions and multi-row setting) for a document. Returns a job id; the suggestion is available from the job result.
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
NetHunt CRM and Lido, answered
What can start an automation from NetHunt CRM?
Any of NetHunt CRM's 8 triggers in the catalog, including New Call Log, New Comment, New folder and New Google Drive File in Folder. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Lido when something happens in NetHunt CRM?
Any of Lido's 3 actions, including Extract Data From File, Find Extraction Result and Generate extraction config. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Lido to NetHunt CRM?
Lido has no triggers in the catalog today, so automations start in NetHunt CRM. If you need the other direction, ask: your agent reads Lido's API documentation and adds it.
Do I have to build a connector for NetHunt CRM or Lido?
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 NetHunt CRM and Lido 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.