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.