Roundtable AI FAQs

Question 1

What is Roundtable AI?

Accepted Answer

Roundtable AI is a local Model Context Protocol (MCP) server that unifies multiple specialized AI coding assistants (like Gemini, Claude, and Codex). It enables your primary AI to delegate tasks for parallel problem-solving directly within your IDE, providing synthesized responses with shared project context.

Question 2

Which AI models and IDEs are compatible with Roundtable AI?

Accepted Answer

Roundtable AI leverages specialized models like Google Gemini, Anthropic Claude, and OpenAI Codex for specific tasks. It integrates seamlessly with 26+ IDEs and AI coding assistants, including popular choices like Cursor, Claude Code, VS Code, and JetBrains.

Question 3

How does Roundtable AI improve developer workflow?

Accepted Answer

It drastically reduces context-switching between different AI models, allows simultaneous execution of tasks by specialized agents, maintains shared project context across all sub-agents, and synthesizes diverse insights into a single, comprehensive response. This boosts efficiency in debugging, optimization, and complex problem-solving.

Question 4

Can Roundtable AI handle complex multi-stack debugging?

Accepted Answer

Absolutely. Roundtable AI excels at multi-stack debugging by delegating different aspects of a problem to specialized sub-agents. For instance, Gemini can analyze frontend logs, Codex can examine backend traces, and Claude can review infrastructure, providing a holistic and aggregated incident report.

Question 5

Does Roundtable AI add extra costs to my AI API usage?

Accepted Answer

No. Roundtable AI utilizes your existing CLI tools and API subscriptions (e.g., for Gemini, Claude, Codex) with zero markup. You only pay for what you would normally pay when using these AI services individually.

Roundtable AI

Roundtable AI

Key Features

Use Cases

Key Features

Use Cases