Integration
Connect Cerca and Chatling
When Applicant Created fires in Cerca, your agent runs Create Contact in Chatling, or New Contact/Lead in Chatling to Create User in Cerca. 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 Cerca and Chatling 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Cerca and Chatling can do together
From Cerca to Chatling
When Applicant Created in Cerca
then Create Contact in Chatling
When New Agency in Cerca
then Send Message in Chatling
From Chatling to Cerca
When New Contact/Lead in Chatling
then Create User in Cerca
When New Conversation in Chatling
then Update user in Cerca
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 Cerca and Chatling
Triggers and actions 6 triggers · 32 actions
Trigger
Applicant ArchivedTriggers when a Cerca applicant is archived.
Trigger
Applicant CreatedTriggers when a new applicant (franchise candidate) is created in Cerca.
Trigger
Applicant ProgressedTriggers when a Cerca applicant moves to a different step.
Trigger
New AgencyTriggers when a new agency is added to your Cerca network.
Action
Approve userApproves a user awaiting moderation, taking them out of moderation and activating their account.
Action
Create AgencyCreates a Cerca agency (a location in the network) and returns it.
Action
Create Applicant RequestCreates an applicant request (a new franchise candidate lead) on one of your Cerca applicant sources.
Action
Create UserCreates a user in the Cerca extranet and returns it.
Action
Delete AgencyDeletes a Cerca agency.
Action
Delete userDeletes a user from your Cerca extranet.
Action
Demote applicantMoves an applicant back to the previous step of their recruitment scenario and returns the updated applicant.
Action
Find ApplicantFinds Cerca applicants whose name, email or phone matches the search text, and returns the first match.
Action
Find usersSearches users by name or email and returns the matching users.
Action
Get AgencyReturns one Cerca agency (a location in the network) by its ID.
Action
Get Current UserReturns the Cerca user the access token acts as, with their name, email and agencies.
Action
Get userReturns a single user of your Cerca extranet, including profile details, groups, agencies and custom fields.
Action
List AgenciesReturns a page of Cerca agencies, optionally filtered by a search term.
Action
List applicant scenariosReturns every applicant scenario (recruitment funnel) in the extranet, the default one first.
Action
List UsersReturns a page of users in the Cerca extranet, optionally filtered by a search term.
Action
Promote ApplicantAdvances a Cerca applicant to the next step of their recruitment scenario.
Action
Update AgencyUpdates a Cerca agency's details; only the fields you fill in are changed.
Action
Update userUpdates an existing user's profile, contact details, address, groups, agencies and custom fields. Only the fields you fill in are changed.
Trigger
New Contact/LeadTriggers when a Chatling chatbot saves a new contact or lead.
Trigger
New ConversationTriggers when a customer starts a new conversation with a Chatling chatbot.
Action
Add Knowledge Base FAQAdds a question and answer (FAQ) to a Chatling chatbot's knowledge base.
Action
Add Knowledge Base LinksAdds a webpage link to a Chatling chatbot's knowledge base so the AI can answer from it.
Action
Add Knowledge Base TextAdds a block of text to a Chatling chatbot's knowledge base so the AI can answer from it.
Action
Create ChatbotCreates a new Chatling chatbot, from scratch or from a template.
Action
Create ContactCreates a contact (lead) in a Chatling chatbot. At least one contact detail is required.
Action
Delete ContactDeletes a contact from a Chatling chatbot.
Action
Delete ConversationDeletes a conversation from a Chatling chatbot.
Action
Delete Knowledge Base Data SourceDeletes a data source (link, text or FAQ) from a Chatling chatbot's knowledge base.
Action
Get ChatbotReturns one Chatling chatbot by its ID, with its name, version and visibility.
Action
Get ContactReturns one contact saved by a Chatling chatbot, with name, email, phone and company.
Action
Get ConversationReturns one Chatling conversation with its contact and messages.
Action
List ChatbotsReturns the chatbots in your Chatling project, with each chatbot's ID, name and visibility.
Action
List ContactsReturns the contacts and leads saved by a Chatling chatbot.
Action
Send MessageSends a message to a Chatling chatbot and returns the AI's answer from its knowledge base.
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
Cerca and Chatling, answered
What can start an automation from Cerca?
Any of Cerca's 4 triggers in the catalog, including Applicant Created, New Agency, Applicant Progressed and Applicant Archived. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Chatling when something happens in Cerca?
Any of Chatling's 14 actions, including Create Chatbot, Create Contact, Send Message and Add Knowledge Base FAQ. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Chatling to Cerca?
Yes. When something happens in Chatling, your agent can act in Cerca too. This page covers both directions: Chatling's triggers and Cerca's actions are listed here as well.
Do I have to build a connector for Cerca or Chatling?
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 Cerca and Chatling 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.