Integration
Connect Benchmark Email Classic to Parallel Web Systems
When New Contact fires in Benchmark Email Classic, your agent runs Add FindAll run in Parallel Web Systems. 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 Benchmark Email Classic and Parallel Web Systems 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 Benchmark Email Classic can start in Parallel Web Systems
When New Contact in Benchmark Email Classic
then Add FindAll run in Parallel Web Systems
When New Contact in Segment in Benchmark Email Classic
then Add monitor in Parallel Web Systems
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 Benchmark Email Classic and Parallel Web Systems
Triggers and actions 6 triggers · 23 actions
Trigger
Email OpenedTriggers when a contact opens the selected email campaign.
Trigger
Link ClickedTriggers when a contact clicks a link in the selected email campaign.
Trigger
New ContactTriggers when a new contact is added to the selected Benchmark Email contact list.
Trigger
New Contact in SegmentTriggers when a contact is added to the selected segment.
Trigger
New ListTriggers when a new contact list is created in your Benchmark Email account.
Trigger
New UnsubscriberTriggers when a contact unsubscribes from the selected email campaign.
Action
Add Contact to ListAdds a contact to a Benchmark Email contact list.
Action
Add listCreates a new contact list in Benchmark Email.
Action
Delete contactDeletes a contact from a Benchmark Email contact list.
Action
Find ContactFinds contacts by email address across all lists, returning each list membership found.
Action
Get contactReturns the details of one contact in a contact list, including its name, email, opt-in info and custom field values.
Action
Get emailReturns the details of an email campaign, including its subject, sender, contact lists and content.
Action
List contactsReturns the contacts in a Benchmark Email contact list, optionally filtered by a search value or status.
Action
List emailsReturns the email campaigns in the Benchmark Email account, optionally filtered and sorted.
Action
List listsReturns the contact lists in the Benchmark Email account.
Action
Unsubscribe ContactUnsubscribes a contact by moving them from a list to the account's Do Not Contact (master unsubscribe) list.
Action
Add FindAll runStarts a Parallel FindAll run that searches the web for every entity matching your objective and match conditions. The run starts queued; retrieve its status and results with the FindAll run id it returns.
Action
Add monitorCreates a Parallel monitor that watches a web search query, or the output of an existing task run, for material changes on a schedule. The monitor runs once right away and then on the chosen frequency.
Action
Cancel monitorPermanently stops a monitor from running. Cancellation cannot be undone; cancelling an already-cancelled monitor changes nothing.
Action
Create Async Web EnrichmentStarts an asynchronous web research/enrichment task run in Parallel. Returns immediately with the run in status 'queued'; fetch the result later with the run id.
Action
Extract web contentExtracts relevant excerpts (and optionally full content) as markdown from up to 20 web URLs.
Action
Fetch Results for Async RunsRetrieves the result of a Parallel task run (created asynchronously) by its run ID, waiting until the run completes or the timeout elapses.
Action
Find entities by objectiveReturns up to the chosen number of people or companies, ranked, that match a natural-language description of the entities you want.
Action
Get FindAll runRetrieve a FindAll run's status, candidate metrics, generator and metadata.
Action
Get FindAll run resultRetrieve a snapshot of a FindAll run's result: run status and metrics plus every candidate evaluated so far with its match status, output and citations.
Action
Get monitorRetrieves a monitor by its ID, including its type, status, frequency, query settings, webhook configuration and, for snapshot monitors, the latest output.
Action
List monitorsList monitors in the Parallel account, newest first, optionally filtered by type and status.
Action
Search webSearches the web with Parallel and returns ranked results with relevant excerpts.
Action
Update monitorUpdates an existing Parallel monitor's frequency, processor, webhook, metadata, query or source settings. Only the fields you fill in are changed.
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
Benchmark Email Classic and Parallel Web Systems, answered
What can start an automation from Benchmark Email Classic?
Any of Benchmark Email Classic's 6 triggers in the catalog, including New Contact, New Contact in Segment, New List and New Unsubscriber. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Parallel Web Systems when something happens in Benchmark Email Classic?
Any of Parallel Web Systems's 13 actions, including Create Async Web Enrichment, Update monitor, Add FindAll run and Add monitor. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Parallel Web Systems to Benchmark Email Classic?
Parallel Web Systems has no triggers in the catalog today, so automations start in Benchmark Email Classic. If you need the other direction, ask: your agent reads Parallel Web Systems's API documentation and adds it.
Do I have to build a connector for Benchmark Email Classic or Parallel Web Systems?
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 Benchmark Email Classic and Parallel Web Systems 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.