Summary

This PR adds Roundtable AI, a zero-configuration MCP (Model Context Protocol) server that unifies multiple AI coding assistants, to the ML Experiments category.

Project Details

• Repository: https://github.com/askbudi/roundtable
• PyPI: https://pypi.org/project/roundtable-ai/
• Homepage: https://askbudi.ai/roundtable
• Category: ML Experiments (Workflow & Experiment Tracking)

Why This Tool Matters for ML Developers

🚀 Emerging Technology at the Forefront of AI-Assisted Development

Roundtable AI addresses a critical gap in the ML development workflow by providing a unified interface to multiple AI coding assistants (OpenAI Codex, Claude Code, Cursor, Gemini). This is particularly valuable for ML practitioners who frequently switch between different AI tools for:

• Model Experimentation: Compare code suggestions from different AI assistants for ML implementations
• Data Pipeline Development: Leverage various AI strengths for ETL and preprocessing workflows
• Research Code Development: Accelerate prototyping with intelligent auto-discovery of available AI tools
• Team Standardization: Ensure consistent AI assistant access across ML teams and environments

🛠 Technical Innovation

• MCP Protocol Compliance: Built on the emerging Model Context Protocol standard
• Zero-Configuration Intelligence: Automatic discovery and management of CLI tools
• Session Continuity: Maintains conversation context across AI assistant interactions
• Enterprise-Ready: Async architecture with comprehensive logging and error handling

📊 Strategic Value for ML Community

While Roundtable AI currently has 13 stars (below the 300-star threshold), it represents:

1. Early-Stage Innovation: Cutting-edge tool in the rapidly evolving AI-assisted development space
2. Protocol Standardization: Implementation of MCP standard that will likely become industry norm
3. ML-Specific Value: Particularly beneficial for ML developers who use multiple AI assistants
4. Future-Proofing: Investment in tools that bridge different AI providers

Precedent for Emerging Tools

The ML ecosystem benefits from early identification and promotion of innovative tools that solve real developer pain points. Roundtable AI's inclusion would:

• Help ML developers discover this valuable productivity tool
• Support the growth of MCP ecosystem standardization
• Demonstrate recognition of emerging AI-assisted development workflows

Implementation Details

- name: Roundtable AI
  github_id: askbudi/roundtable
  pypi_id: roundtable-ai
  description: Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface
  homepage: https://askbudi.ai/roundtable
  category: ml-experiments
  labels: ["mcp-server"]

Request for Consideration

I understand this project currently falls below the 300-star minimum requirement. However, I believe Roundtable AI represents exactly the type of innovative, ML-relevant tooling that benefits from early community visibility and support.

Would the maintainers consider this addition given its unique value proposition for ML developers working with AI assistants?

Note: All contribution guidelines have been followed regarding YAML formatting, individual PR submission, and appropriate categorization.

🤖 Generated with Claude Code