Integration
Connect Manifestly Checklists Agent to Loops
When Run Late fires in Manifestly Checklists Agent, your agent runs Add Contact in Loops. 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 Manifestly Checklists Agent and Loops 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 Manifestly Checklists Agent can start in Loops
When Run Late in Manifestly Checklists Agent
then Add Contact in Loops
When Run Late in Manifestly Checklists Agent
then Add contact property in Loops
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 Manifestly Checklists Agent and Loops
Triggers and actions 1 trigger · 16 actions
Trigger
Run LateTriggers when a run is late.
Action
Change Step StateCompletes, reopens, skips, starts, stops or stores data on a step of a Manifestly checklist run.
Action
Get RunLook up one checklist run by its id and return its current details, including its title, state, progress, notes, tags and the workflow it came from.
Action
List Run StepsReturns the steps of a checklist run
Action
List WorkflowsReturns the checklist workflows in your Manifestly account.
Action
Run WorkflowStarts a new run of a Manifestly checklist workflow, optionally naming it, scheduling it and assigning the people who take part.
Action
Add ContactCreates a new contact in your Loops audience, with optional name, user group, subscription status, mailing list memberships and custom contact properties.
Action
Add contact propertyCreates a new custom contact property in your Loops account, such as a plan name or signup date, so it can be stored on contacts.
Action
Delete ContactDeletes a contact from your Loops audience, identified by email address or user ID.
Action
Find ContactFinds a Loops contact by email address or by your own user ID and returns the matching contact, including its custom properties.
Action
Get campaignReturns a single Loops campaign by its ID, including its name, status, audience, mailing list and schedule.
Action
List campaignsReturns all campaigns in your Loops account, with each campaign's name, status, audience and scheduling details.
Action
List contact propertiesReturns the contact properties defined in your Loops account, either all of them or only your custom ones.
Action
List mailing listsReturns every mailing list in your Loops account, with each list's name, description and whether it is public.
Action
List transactional emailsReturns the transactional emails in your Loops account, including each email's id, name, and the data variables it expects.
Action
Send EventSends an event for a contact in Loops to trigger workflows, identifying the contact by email or user ID and optionally updating their contact properties and mailing list subscriptions.
Action
Update ContactUpdates a Loops contact identified by email or user ID, including standard fields, custom contact properties and mailing list subscriptions. Creates the contact if no match exists.
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
Manifestly Checklists Agent and Loops, answered
What can start an automation from Manifestly Checklists Agent?
Any of Manifestly Checklists Agent's 1 trigger in the catalog, including Run Late. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Loops when something happens in Manifestly Checklists Agent?
Any of Loops's 11 actions, including Send Event, Update Contact, Add Contact and Add contact property. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Loops to Manifestly Checklists Agent?
Loops has no triggers in the catalog today, so automations start in Manifestly Checklists Agent. If you need the other direction, ask: your agent reads Loops's API documentation and adds it.
Do I have to build a connector for Manifestly Checklists Agent or Loops?
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 Manifestly Checklists Agent and Loops 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.