Integration
Connect NetHunt CRM to Apify
When New Call Log fires in NetHunt CRM, your agent runs Run Task in Apify. 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 Apify 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 Apify
When New Call Log in NetHunt CRM
then Run Task in Apify
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 Apify
Triggers and actions 8 triggers · 26 actions
- New Call Log
Triggered when a new call log is added to a record in the specified folder.
- New Comment
Triggered when a new comment is added to a record in the specified folder.
- New folder
Triggered when a new folder is added.
- New Google Drive File in Folder
Polls 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.
- New or Updated Record in Folder
Triggered when a record is created or updated in the specified folder.
- New Record in Folder
Triggered when a record is created in the specified folder.
- Two-way sync new or updated records in folder
A 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.
- Updated Record in Folder
Triggered when a record is updated in the specified folder.
- Add Call Log
Add a call log to the specified record.
- Add Comment
Add a comment to the specified record.
- Delete Record
Delete a record by ID.
- Find Record
Search records in a folder by ID or text query.
- Find record by field value
Finds one record in a NetHunt folder by matching a field value, and projects the record's fields map alongside record_id / id / created_at.
- List Folder Fields
List the fields of a folder.
- List Readable Folders
List all folders the user can read.
- List Writable Folders
List folders the user can create records in.
- Abort Actor build
Aborts an Actor build that is starting or running and returns the build's details. Builds that already finished, failed, timed out or are aborting are left unchanged.
- Abort Actor run
Aborts a running or starting Apify Actor run and returns the run's details, including its updated status. Runs that already finished, failed or timed out are left unchanged.
- Add dataset items
Appends one or more items to the end of an Apify dataset.
- Delete key-value store record
Deletes a record, identified by its key, from an Apify key-value store.
- Fetch Dataset Items
Returns all items stored in an Apify dataset, such as the results scraped by an Actor run, with optional field selection and cleanup.
- Find Last Actor Run
Returns the most recent run of an Actor, optionally limited to runs with a given status or started a given way, including its status, timing and the ids of its default dataset and key-value store.
- Find Last Task Run
Returns the most recent run of an Apify Actor task, optionally limited to runs with a given status or origin.
- Get Actor
Returns all the details of an Apify Actor, including its versions, default run options, statistics and pricing.
- Get Actor run
Returns the details of one Actor run, including its status, timing, statistics, costs and the IDs of its default dataset, key-value store and request queue. Can optionally wait up to 60 seconds for the run to finish.
- Get Key-Value Store Record
Returns the value stored under a key in an Apify key-value store, such as an Actor run's output or input record.
- Get task
Returns the details of an Apify Actor task, including its saved input, run options, and run statistics.
- List Actor runs
Returns the runs of one of your Apify Actors, with each run's status, start and finish times, cost and the IDs of its default dataset and key-value store. Can be filtered by status and start date.
- List Actors
Returns the Actors you created or have used in your Apify account, with each Actor's ID, name, owner username, title and usage stats.
- List datasets
Returns the datasets in your Apify account, with each dataset's id, name, item count and timestamps.
- List tasks
Returns the Actor tasks you have created or used, with each task's id, name, Actor and run stats.
- Run Actor
Starts a run of an Apify Actor with the input you provide and returns the new run, including its status and the IDs of its default dataset and key-value store.
- Run Task
Starts a run of one of your saved Apify Actor tasks, optionally overriding parts of its input, and returns the new run with its status and storage IDs.
- Set Key-Value Store Record
Saves a value under a key in an Apify key-value store, replacing any existing record with the same key.
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
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Questions
NetHunt CRM and Apify, 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 Apify when something happens in NetHunt CRM?
Any of Apify's 18 actions, including Abort Actor build, Abort Actor run, Add dataset items and Fetch Dataset Items. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Apify to NetHunt CRM?
Apify has no triggers in the catalog today, so automations start in NetHunt CRM. If you need the other direction, ask: your agent reads Apify's API documentation and adds it.
Do I have to build a connector for NetHunt CRM or Apify?
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 Apify 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.