Tutorials
ChatBotKit Tutorials Topics for mcp
ChatBotKit is a conversational AI platform that helps you build, train, and deploy AI-powered chatbots and virtual assistants for your business.
- How to Connect a ChatBotKit Agent to BuzzLearn how to run a ChatBotKit agent inside Buzz by connecting Buzz Agent to ChatBotKit's OpenAI-compatible API. This tutorial covers scoped tokens, agent configuration, channel access, testing, and self-hosted deployment.
- 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 Secure MCP Servers with Google OAuthLearn how to set up multiple MCP server integrations with dedicated skillsets, all protected by a shared OAuth connection using Google as the identity provider, ensuring only your organization's members can access your AI tools.
- How to Connect Any MCP Server to Your AI AgentLearn how to connect Model Context Protocol (MCP) servers to your ChatBotKit AI agent using abilities. This tutorial covers using pre-built MCP abilities, providing custom MCP URLs, handling authentication with secrets, and choosing between shared and personal access modes.