Add Roundtable MCP Server Example - Unified AI Assistant Management #2167
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This comprehensive example demonstrates how to use Roundtable MCP Server to manage multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through a single, unified interface integrated with OpenAI's ecosystem. Key features demonstrated: - Zero-configuration automatic discovery of AI tools - Unified MCP interface for multiple AI assistants - Integration with OpenAI Responses API for intelligent orchestration - Production deployment patterns and best practices - Real-world use cases including multi-agent code generation - Comprehensive monitoring, security, and troubleshooting guidance This addition provides OpenAI developers with a powerful tool for managing multiple AI assistants while maintaining the simplicity and reliability expected from the OpenAI cookbook. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
This PR adds a comprehensive example demonstrating the Roundtable MCP Server - a unified interface for managing multiple AI coding assistants through the Model Context Protocol (MCP). This example showcases practical integration with OpenAI's ecosystem and provides significant value to developers using multiple AI tools.
What's Added
📖 Comprehensive Jupyter Notebook
examples/mcp/roundtable_unified_ai_assistants.ipynbregistry.yamlwith appropriate tags🚀 Key Features Demonstrated
Strategic Value for OpenAI Ecosystem
🎯 Perfect Alignment with OpenAI Goals
🔧 Practical Benefits for Developers
Example Content Overview
🏗️ Architecture & Integration
💡 Real-World Use Cases
🛡️ Production Readiness
📊 Advanced Features
Quality Assurance
✅ Follows OpenAI Cookbook Standards
🎯 Target Audience Alignment
📈 Expected Impact
Testing and Validation
Future Roadmap
The example includes a detailed roadmap section showing planned enhancements:
Conclusion
This addition provides the OpenAI community with a powerful, practical tool for managing multiple AI coding assistants while showcasing the capabilities of the MCP ecosystem. It demonstrates how OpenAI's Responses API can be used to orchestrate complex multi-assistant workflows, providing immediate value to developers and encouraging broader MCP adoption.
The comprehensive nature of this example - from basic setup to production deployment - makes it a valuable resource that aligns perfectly with OpenAI's mission to make AI accessible and useful for developers worldwide.
Repository: github.com/askbudi/roundtable
Documentation: askbudi.ai/roundtable
🤖 Generated with Claude Code