chatkit-botbuilder

Build ChatKit chatbots with FastAPI, Next.js, and MCP tool integration.

Updated Dec 7, 2025
One-click install
npx skills add https://github.com/92Bilal26/TaskPilotAI --skill chatkit-botbuilder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chatkit-botbuilder
Source: https://github.com/92Bilal26/TaskPilotAI/tree/main/.claude/skills/chatkit-botbuilder
Command: npx skills add https://github.com/92Bilal26/TaskPilotAI --skill chatkit-botbuilder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill guides teams to build production-grade ChatKit chatbots that integrate the OpenAI Agents SDK with MCP tools and custom backends, ensuring secure multi-user conversations and real-time task execution.

Core Features & Use Cases

  • Integrated AI Agents: leverage OpenAI Agents SDK for natural language-driven chatbot behavior.
  • MCP Tool Integration: connect wrapped tools with automatic user_id injection for per-user isolation.
  • FastAPI + Next.js Templates: readily adaptable backend/frontend patterns.
  • Multi-user Isolation: JWT-based authentication and per-user data separation.
  • Real-Time Sync: auto-refresh and real-time UI updates between ChatKit and dashboards.

Quick Start

To begin, review the backend and frontend templates, set up authentication, wire MCP tools with user-scoped wrappers, and run the FastAPI backend with a Next.js frontend. Then deploy to production and verify domain verification steps as described in references.

Frequently Asked Questions about chatkit-botbuilder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a production-grade ChatKit chatbot with OpenAI Agents SDK?

To achieve per-user isolation in a multi-user ChatKit deployment, use JWT-based authentication alongside wrapper-based injection of user_id into MCP tools. This enforces per-user data filtering directly at the database layer, ensuring secure data separation.

How do I connect MCP tools to a FastAPI backend with per-user data filtering?

Connect MCP tools to a FastAPI backend by applying wrapper-based injection of user_id into the tools. This mechanism automatically filters data per user at the database layer, maintaining secure isolation across concurrent multi-user conversations.

Does this ChatKit bot template support real-time UI sync between the frontend and dashboard?

Yes, the ChatKit bot template supports real-time UI sync. It implements auto-refresh and real-time UI updates between the ChatKit interface and external dashboards, ensuring immediate state synchronization across multi-user deployments.

What is the best way to structure a Next.js frontend for a multi-user AI chatbot?

The best way to structure a Next.js frontend for a multi-user AI chatbot is to use readily adaptable templates paired with a FastAPI backend. This pattern supports JWT authentication, real-time sync, and OpenAI agent orchestration out of the box.

Can I use JWT authentication to enforce user isolation in an OpenAI Agents SDK deployment?

Yes, you can use JWT authentication to enforce user isolation in an OpenAI Agents SDK deployment. The Skill implements JWT-based user isolation to secure multi-user conversations and ensures per-user data separation across the application.