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.