Integration
Connect Checkvist and Favro
When something happens in Checkvist or Favro, 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 Checkvist and Favro 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 Checkvist and Favro can do together
From Checkvist to Favro
When New List in Checkvist
then Add column in Favro
From Favro to Checkvist
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 Checkvist and Favro
Triggers and actions 5 triggers · 30 actions
- New List
Triggered when a new checklist is created in Checkvist.
- New List Item
Triggered when a new item is added to the chosen Checkvist checklist.
- Close Task
Marks a task in a Checkvist checklist as closed (done) and returns the updated task.
- Create List Item
Adds a new item (task) to a Checkvist checklist and returns the created item.
- Create New List
Creates a new Checkvist checklist and returns it.
- Create Several List Items
Adds several items to a Checkvist checklist at once from a block of text (one item per line) and returns the created items.
- Create Task Note
Adds a note (comment) to a task in a Checkvist checklist and returns the new note.
- Delete Checklist
Deletes a Checkvist checklist and returns the deleted list.
- Delete List Item
Deletes an item (task) from a Checkvist checklist and returns the deleted item.
- Get Checklist
Returns a single Checkvist checklist by its ID, with its name, sharing settings and item counts.
- Get List Item
Returns a single item (task) from a Checkvist checklist, optionally with its notes.
- List Checklists
Returns the Checkvist checklists the connected account can see.
- List List Items
Returns the items (tasks) in a Checkvist checklist.
- List Task Notes
Returns the notes (comments) on a task in a Checkvist checklist.
- Reopen Task
Reopens a closed task in a Checkvist checklist and returns the updated task.
- Update Checklist
Updates a Checkvist checklist's name or sharing setting and returns the updated list.
- Update List Item
Updates an item (task) in a Checkvist checklist and returns the updated item.
- New card
Fires when a new card is created (Card created event).
- New comment
Fires when a new comment is created on a card (Comment created event).
- Updated card
Fires when a card is updated or moved (Card updated / Card moved event).
- Add column
Create a new column (list) on a widget/board.
- Add comment
Add a comment to a card.
- Add tag
Create a new tag.
- Add task
Add a task (checklist item) to a card's task list.
- Add widget
Create a new widget (board) in a collection.
- Delete comment
Delete a comment.
- Get card
Fetch a single card by cardId or cardSequentialId.
- List cards
List cards, optionally filtered by widgetCommonId/columnId/etc.
- List collections
List collections in the organization.
- List columns
List columns on a widget.
- List comments
List comments on a card.
- List tags
List all tags in the organization.
- List tasks
List tasks on a card.
- List widgets
List widgets (boards) in a collection.
- Update comment
Update the text of an existing comment.
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
Checkvist and Favro, answered
What can start an automation from Checkvist?
Any of Checkvist's 2 triggers in the catalog, including New List and New List Item. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Favro when something happens in Checkvist?
Any of Favro's 15 actions, including Update comment, Add column, Add comment and Add tag. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Favro to Checkvist?
Yes. When something happens in Favro, your agent can act in Checkvist too. This page covers both directions: Favro's triggers and Checkvist's actions are listed here as well.
Do I have to build a connector for Checkvist or Favro?
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.