Integration
Connect Zamzar to Pipeless Recommendations
When New Conversion Job fires in Zamzar, your agent runs Create Event in Pipeless Recommendations. 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 Zamzar and Pipeless Recommendations 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 Zamzar can start in Pipeless Recommendations
When New Conversion Job in Zamzar
then Create Event in Pipeless Recommendations
When New File in Zamzar
then Create Events (With Line Item Support) in Pipeless Recommendations
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 Zamzar and Pipeless Recommendations
Triggers and actions 2 triggers · 17 actions
Trigger
New Conversion JobTriggered when a new conversion job is created in your Zamzar account.
Trigger
New FileTriggered when a new file appears in your Zamzar account, whether uploaded or produced by a conversion.
Action
Convert FileStarts a Zamzar conversion job that converts a file you supply into another format. Returns the new job with its id and status so you can check on it or collect the converted file later.
Action
Create Content FileCreates a file on Zamzar from text content you supply, so it can be converted or downloaded later. Returns the stored file with its id, name and size.
Action
Delete conversion jobDeletes a conversion job from Zamzar. Returns the job that was removed.
Action
Delete fileDeletes a file stored on Zamzar. Returns the file that was removed.
Action
Find Converted FileLooks through the files stored on Zamzar and returns the ones whose name matches the text you supply. Use it to locate a converted file after a conversion job has finished.
Action
Get conversion jobReturns a single Zamzar conversion job, including its current status and any converted files it produced.
Action
Get fileReturns the details of a single file stored on Zamzar, including its name, format and size.
Action
List conversion jobsReturns the conversion jobs in your Zamzar account, most recent first.
Action
List formatsReturns every source format Zamzar can convert from, along with the target formats each one can be converted into.
Action
Create EventCreates a single event linking a start object to an end object through a relationship (for example, a user who liked a post) in your Pipeless app.
Action
Create Events (With Line Item Support)Creates up to 10 events in one call, such as several line items a user purchased.
Action
Delete eventDeletes the event(s) matching a start object, relationship type and end object.
Action
Delete objectDeletes an object and all the relationships and events connected to it.
Action
Get Activity on ObjectReturns the activity that has taken place on an object, such as who followed or liked it.
Action
Get objectReturns basic info (type, created and modified dates) for a single Pipeless object.
Action
List recent eventsReturns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app.
Action
Update objectUpdates an existing Pipeless object's id or its created/modified timestamps.
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
More from Zamzar
Zamzar to ZoomZoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...
Zamzar to LinkedInLinkedIn is a professional networking platform enabling job seekers, companies, and thought leaders to...
Zamzar to FacebookFacebook is a social media and advertising platform used by individuals and businesses to connect, share...
Zamzar to AnthropicAnthropic builds Claude, a family of large language models.
Zamzar to GoHighLevelAll-in-one sales and marketing platform agencies white-label and resell to their clients — contacts...
Zamzar to SupabaseSupabase is an open-source backend-as-a-service providing a Postgres database, authentication, storage, and...
More into Pipeless Recommendations
HubSpot to Pipeless RecommendationsHubSpot is your all-in-one stop for all of your marketing software needs.
Salesforce to Pipeless RecommendationsSalesforce is a leading enterprise customer relationship management (CRM) platform.
Slack to Pipeless RecommendationsSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Google Sheets to Pipeless RecommendationsGoogle Sheets
Gmail to Pipeless RecommendationsGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to Pipeless RecommendationsGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
Zamzar and Pipeless Recommendations, answered
What can start an automation from Zamzar?
Any of Zamzar's 2 triggers in the catalog, including New Conversion Job and New File. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pipeless Recommendations when something happens in Zamzar?
Any of Pipeless Recommendations's 8 actions, including Create Event, Create Events (With Line Item Support), Update object and Get Activity on Object. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipeless Recommendations to Zamzar?
Pipeless Recommendations has no triggers in the catalog today, so automations start in Zamzar. If you need the other direction, ask: your agent reads Pipeless Recommendations's API documentation and adds it.
Do I have to build a connector for Zamzar or Pipeless Recommendations?
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 Zamzar and Pipeless Recommendations 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.