Integration
Connect Zenlist to Lido
When New and Updated Chat Messages fires in Zenlist, your agent runs Extract Data From File in Lido. 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 Zenlist and Lido 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 Zenlist can start in Lido
When New and Updated Chat Messages in Zenlist
then Extract Data From File in Lido
When New and Updated Chat Messages in Zenlist
then Generate extraction config in Lido
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 Zenlist and Lido
Triggers and actions 1 trigger ยท 16 actions
Trigger
New and Updated Chat MessagesTriggers when a client chat message is created or changed in Zenlist.
Action
Create a Client InvitationSends a new client invitation from an agent to a client by email, and returns the created invitation.
Action
Get agentReturns a Zenlist agent by ID, including name, MLS details, contact info and linked account.
Action
Get chat messageReturns a single client chat message by its Zenlist ID.
Action
Get clientReturns a Zenlist client by ID, including name, contact details and assigned agent.
Action
Get client invitationReturns a client invitation by its Zenlist ID, including its state, invitee details and the inviting agent.
Action
Get eventReturns a single client activity event (listing view, save, tour request, note, saved search or new session) by its Zenlist ID.
Action
Get message countsReturns the total number of unread chat messages across all conversations for an agent, identified by their MLS member ID.
Action
Get searchReturns a saved client search by its Zenlist ID.
Action
List agentsReturns the list of agents your Zenlist partner key has access to.
Action
List chat messagesReturns the client chat messages your Zenlist account has access to.
Action
List client invitationsReturns the client invitations your Zenlist key has access to, with their state, invitee contact details and agent.
Action
List eventsReturns the client events your Zenlist key has access to, such as listing views, saved listings, tour requests, notes, saved searches and new sessions.
Action
List searchesReturns the saved searches this Zenlist API key has access to, with each search's id and creation time.
Action
Extract Data From FileStarts an AI extraction job that pulls the requested columns out of a document or image, and returns the job id to fetch results with.
Action
Find Extraction ResultReturns the status and extracted data rows of a Lido data extraction job.
Action
Generate extraction configAsks Lido to suggest an extraction configuration (columns, instructions and multi-row setting) for a document. Returns a job id; the suggestion is available from the job result.
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
Zenlist and Lido, answered
What can start an automation from Zenlist?
Any of Zenlist's 1 trigger in the catalog, including New and Updated Chat Messages. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Lido when something happens in Zenlist?
Any of Lido's 3 actions, including Extract Data From File, Find Extraction Result and Generate extraction config. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Lido to Zenlist?
Lido has no triggers in the catalog today, so automations start in Zenlist. If you need the other direction, ask: your agent reads Lido's API documentation and adds it.
Do I have to build a connector for Zenlist or Lido?
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 Zenlist and Lido 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.