chatkit-botbuilder

Integrate OpenAI Agents SDK with MCP tools and a JWT-secured FastAPI backend for ChatKit bots.

Updated Sep 5, 2021
One-click install
npx skills add https://github.com/a747895159/spring-cloud-study-alibaba --skill chatkit-botbuilder-a747895159
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chatkit-botbuilder
Source: https://github.com/a747895159/spring-cloud-study-alibaba/tree/main/.agent/skills/chatkit-botbuilder
Command: npx skills add https://github.com/a747895159/spring-cloud-study-alibaba --skill chatkit-botbuilder-a747895159

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Creates production-grade ChatKit bots by integrating OpenAI's Agents SDK with MCP tools and a custom FastAPI backend to enable real-time task execution and strict per-user isolation.

Core Features & Use Cases

  • Integrated AI agents: seamlessly coordinate OpenAI Agents SDK with your MCP-powered tools.
  • Per-user isolation: end-to-end user_id propagation from JWT to MCP to the database.
  • Real-time synchronization: automatic UI updates and streaming responses to users.
  • End-to-end deployment: ready-to-run backend (FastAPI) and frontend (Next.js) patterns for multi-application scenarios.

Quick Start

Follow the workflow to wire the FastAPI backend, Next.js frontend, and MCP tools with per-user isolation to deploy a production-ready ChatKit bot.

Frequently Asked Questions about chatkit-botbuilder

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

FAQPage Schema
How do I build production-grade ChatKit bots with OpenAI Agents SDK?▼

Build production-grade ChatKit bots by integrating the OpenAI Agents SDK with MCP tools and a FastAPI backend. This enables real-time task execution, streaming responses, and strict per-user data isolation for multi-application deployments.

How does per-user isolation work with JWT in MCP tasks?▼

Per-user isolation enforces end-to-end user_id propagation from JWT to MCP tools and the database. Middleware extracts the user_id from the JWT, ensuring strict data boundaries for MCP task execution across multi-user environments.

Can I use FastAPI and Next.js for real-time chatbot synchronization?▼

Yes, FastAPI and Next.js support real-time chatbot synchronization. The backend handles JWT-secured API endpoints and streaming responses, while the frontend receives automatic UI updates for immediate task feedback.

What's the best way to integrate MCP tools with OpenAI Agents SDK?▼

The best way to integrate MCP tools with OpenAI Agents SDK is through a tool wrapper injection mechanism. This coordinates agent-based task execution while maintaining JWT-secured backend connections and per-user data isolation.

Do I need middleware for user_id extraction in a multi-user chatbot backend?▼

Yes, middleware-based user_id extraction is required for multi-user chatbot backends. It intercepts incoming JWT tokens, extracts the user identity, and propagates it to MCP tools to enforce strict per-user data isolation.