Tutorials
ChatBotKit Tutorials Topics for integration
ChatBotKit is a conversational AI platform that helps you build, train, and deploy AI-powered chatbots and virtual assistants for your business.
- How to Set Up Twilio Call Forwarding with ChatBotKitLearn how to build a Twilio voice agent that answers incoming calls, gathers context, and forwards the live call to another phone number using ChatBotKit abilities and blueprints.
- Setting Up MCPServer Integration with VSCodeLearn how to create and configure an MCPServer integration to expose your ChatBotKit skillsets as Model Context Protocol tools for VSCode. Updated May 2026.
- How to Build an Appointment Confirmation Agent with Vapi and ChatBotKitLearn how to build a voice agent that calls patients to confirm appointments, reschedules through live calendar availability, and handles cancellations - all during the phone call. Vapi handles the calling; ChatBotKit handles every action through MCP.
- How to Build Custom Voice Agents with ElevenLabs and ChatBotKitLearn how to build advanced voice agents by connecting ChatBotKit's powerful skillset and ability system to ElevenLabs Conversational AI via the MCP Server integration. This tutorial covers blueprint creation, MCP server setup, ElevenLabs configuration, and advanced tool call patterns.
- How to Use ChatBotKit Conversation AI Technology to Automatically Answer Incoming Zendesk Support RequestsLearn how to use ChatBotKit's Conversation AI technology with Zapier integration to automatically answer incoming Zendesk support requests. This tutorial explains how to create a ChatBotKit dataset and integrate it with Zapier to automate tasks between different apps. By using ChatBotKit to respond to customer inquiries, businesses can improve customer satisfaction and save time and resources for customer support teams.
- How to integrate ChatBotKit with SlackLearn how to integrate ChatBotKit with Slack in this step-by-step tutorial. Follow along to create your Slack Bot Integration, set up your bot on Slack, and test it out. With ChatBotKit integrated with Slack, you can use natural language processing and AI to automate tasks and respond to user inquiries.
- Creating a Personalised Content Creation ChatbotLearn how to create a personalized content creation chatbot using ChatBotKit in this step-by-step tutorial. Use datasets and relevant documents, connect to a website to train the chatbot and specify responses and reactions based on user input in natural language. Test and integrate the final product with your website or social media platforms.
- How to Use ChatBotKit Notion Integration to Synchronize Notion Pages with DatasetsThis tutorial provides step-by-step instructions on how to use the ChatBotKit Notion integration to synchronize Notion pages with datasets. By doing so, you can train your chatbot with the data from the Notion pages, which can improve its performance. The tutorial covers creating a token and sharing content with the custom Notion integration, creating a new dataset or using an existing one, creating a new Notion importer, and pressing the sync button to start the synchronization process. By the end of this tutorial, you will be able to take advantage of this feature and improve your chatbot's performance.
- How to Integrate ChatBotKit with GitHub via Zapier to respond to common questionsLearn how to integrate ChatBotKit with Github via Zapier to automatically respond to new issues created on Github with the help of ChatBotKit Conversation Interaction action. This tutorial will guide you through the process of connecting your Github account with Zapier and your ChatBotKit account to create a chatbot that responds to common problems. With this integration, your chatbot will be able to provide additional help whenever a new issue is created on Github. No coding skills required!
- How to Get Started with ChatBotKitLearn how to get started with ChatBotKit, a conversational AI platform that allows you to create chatbots without coding. Discover the key components of a bot, including the bot instance, datasets, and integrations, and how to combine them to create your own chatbot.
- Modernizing Legacy Applications with AI WidgetsLearn how to breathe new life into legacy applications by adding AI agents through lightweight ChatBotKit AI Widget integration, enabling modern conversational interfaces without complex rebuilds.
- How to use Data Extraction integrationLearn how to effectively use ChatBotKit's Data Extraction integration to capture and send data from conversations to third-party endpoints. Follow our step-by-step guide for setup, configuration, and testing.