Integration
Connect DenserChat and Teach 'n Go
When When Question Processed by Your Chatbot fires in DenserChat, your agent runs Create Prospect in Teach 'n Go, or New Student in Teach 'n Go to Process Input Text in DenserChat. 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 DenserChat and Teach 'n Go 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 DenserChat and Teach 'n Go can do together
From DenserChat to Teach 'n Go
When When Question Processed by Your Chatbot in DenserChat
then Create Prospect in Teach 'n Go
From Teach 'n Go to DenserChat
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 DenserChat and Teach 'n Go
Triggers and actions 2 triggers · 5 actions
- When Question Processed by Your Chatbot
Triggers when your chatbot processes a question, returning the conversation with its latest questions and answers.
- List conversations
Returns your Denser chatbot's conversations, optionally only one end user's, with their messages.
- Process Input Text
Sends a question to your Denser chatbot and returns its answer with the source passages it cited, optionally as one of your users and within an ongoing conversation.
- New Student
Triggers when a new student is added to your Teach 'n Go school.
- Create Prospect
Creates a new prospect (lead) in your Teach 'n Go school's Prospects section.
- Create Student
Creates a new student in your Teach 'n Go school and optionally enrolls them in classes. If a student with the same email already exists, that student is enrolled in the given classes instead.
- List students
Returns the students in your school with their classes, custom fields and related contacts, optionally filtered by id, active status or a search term.
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
DenserChat and Teach 'n Go, answered
What can start an automation from DenserChat?
Any of DenserChat's 1 trigger in the catalog, including When Question Processed by Your Chatbot. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Teach 'n Go when something happens in DenserChat?
Any of Teach 'n Go's 3 actions, including Create Prospect, Create Student and List students. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teach 'n Go to DenserChat?
Yes. When something happens in Teach 'n Go, your agent can act in DenserChat too. This page covers both directions: Teach 'n Go's triggers and DenserChat's actions are listed here as well.
Do I have to build a connector for DenserChat or Teach 'n Go?
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 DenserChat and Teach 'n Go 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.