Integration
Connect Hjarni and Zenlist
When New Note fires in Hjarni, your agent runs Get chat message in Zenlist, or New and Updated Chat Messages in Zenlist to Add File to Note in Hjarni. 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 Hjarni and Zenlist 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 Hjarni and Zenlist can do together
From Hjarni to Zenlist
When New Note in Hjarni
then Get chat message in Zenlist
From Zenlist to Hjarni
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 Hjarni and Zenlist
Triggers and actions 2 triggers · 27 actions
- New Note
Triggers when a new note is created.
- Add File to Note
Attaches a file to an existing note from a URL.
- Add tag
Create a tag.
- Create Folder
Creates a new folder with a name, parent folder, description, and AI instructions.
- Create Note
Creates a new note with a title, body, tags, and folder.
- Delete folder
Delete a container.
- Delete note
Delete a note (moves to trash).
- Delete tag
Delete a tag.
- Get folder
Fetch one container by id.
- Get note
Fetch one note by id with body, tags, container, files.
- List notes
List notes, filter by scope/container_id/tag, paginated.
- List tags
List tags.
- Update folder
Update a container.
- Update note
Update note fields (title, body, tags, container, append_body etc, expected_lock_version).
- Update tag
Rename/update a tag.
- New and Updated Chat Messages
Triggers when a client chat message is created or changed in Zenlist.
- Create a Client Invitation
Sends a new client invitation from an agent to a client by email, and returns the created invitation.
- Get agent
Returns a Zenlist agent by ID, including name, MLS details, contact info and linked account.
- Get chat message
Returns a single client chat message by its Zenlist ID.
- Get client
Returns a Zenlist client by ID, including name, contact details and assigned agent.
- Get client invitation
Returns a client invitation by its Zenlist ID, including its state, invitee details and the inviting agent.
- Get event
Returns a single client activity event (listing view, save, tour request, note, saved search or new session) by its Zenlist ID.
- Get message counts
Returns the total number of unread chat messages across all conversations for an agent, identified by their MLS member ID.
- Get search
Returns a saved client search by its Zenlist ID.
- List agents
Returns the list of agents your Zenlist partner key has access to.
- List chat messages
Returns the client chat messages your Zenlist account has access to.
- List client invitations
Returns the client invitations your Zenlist key has access to, with their state, invitee contact details and agent.
- List events
Returns the client events your Zenlist key has access to, such as listing views, saved listings, tour requests, notes, saved searches and new sessions.
- List searches
Returns the saved searches this Zenlist API key has access to, with each search's id and creation time.
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
Hjarni and Zenlist, answered
What can start an automation from Hjarni?
Any of Hjarni's 1 trigger in the catalog, including New Note. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Zenlist when something happens in Hjarni?
Any of Zenlist's 13 actions, including Create a Client Invitation, Get agent, Get chat message and Get client. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Zenlist to Hjarni?
Yes. When something happens in Zenlist, your agent can act in Hjarni too. This page covers both directions: Zenlist's triggers and Hjarni's actions are listed here as well.
Do I have to build a connector for Hjarni or Zenlist?
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 Hjarni and Zenlist 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.