Integration
Connect Altoviz and Manifestly Checklists Agent
When something happens in Altoviz or Manifestly Checklists Agent, your agent does the next thing in the other. Describe it 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 Altoviz and Manifestly Checklists Agent to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Altoviz and Manifestly Checklists Agent can do together
From Altoviz to Manifestly Checklists Agent
When Contact in Altoviz
then Change Step State in Manifestly Checklists Agent
When Customer in Altoviz
then Run Workflow in Manifestly Checklists Agent
From Manifestly Checklists Agent to Altoviz
When Run Late in Manifestly Checklists Agent
then Create Contact in Altoviz
When Run Late in Manifestly Checklists Agent
then Create Customer Family in Altoviz
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 Altoviz and Manifestly Checklists Agent
Triggers and actions 4 triggers · 26 actions
Trigger
ContactTriggers when a contact is created, updated or deleted.
Trigger
CustomerTriggers when a customer is created, updated or deleted.
Trigger
ProductTriggers when a product is created, updated or deleted.
Action
Create ContactCreates a new contact.
Action
Create Customer FamilyCreates a new customer family.
Action
Create Draft Sales InvoiceCreates a new draft sales invoice.
Action
Create Product FamilyCreates a new product family.
Action
Create ReceiptCreates a new receipt.
Action
Create Sales CreditCreates a new sales credit.
Action
Create Sales QuoteCreates a new sales quote.
Action
Create SupplierCreates a new supplier.
Action
Delete ContactDelete an existing contact.
Action
Delete CustomerDelete an existing customer.
Action
Delete ReceiptDelete an existing receipt.
Action
Delete Sales CreditDelete an existing sales credit.
Action
Delete Sales InvoiceDelete an existing draft sales invoice.
Action
Delete Sales QuoteDelete an existing sales quote.
Action
Delete SupplierDelete an existing supplier.
Action
Download Purchase InvoiceDownload a purchase invoice.
Action
Get SettingsReturns the Altoviz account's application settings (company, accounting, sales, VAT, e-invoicing, emailing, general and social settings).
Action
Update CustomerUpdate an existing customer.
Action
Update ProductUpdate an existing product.
Action
Update ReceiptUpdate an existing receipt.
Action
Update SupplierUpdate an existing supplier.
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.
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
Altoviz and Manifestly Checklists Agent, answered
What can start an automation from Altoviz?
Any of Altoviz's 3 triggers in the catalog, including Contact, Customer and Product. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Manifestly Checklists Agent when something happens in Altoviz?
Any of Manifestly Checklists Agent's 5 actions, including Change Step State, Get Run, List Run Steps and List Workflows. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Manifestly Checklists Agent to Altoviz?
Yes. When something happens in Manifestly Checklists Agent, your agent can act in Altoviz too. This page covers both directions: Manifestly Checklists Agent's triggers and Altoviz's actions are listed here as well.
Do I have to build a connector for Altoviz or Manifestly Checklists Agent?
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.
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.