Roundtable AI is a local Model Context Protocol (MCP) server that coordinates specialized AI sub-agents to solve complex engineering problems. Instead of manually switching between different AI tools, you delegate tasks from a single prompt in your IDE, and Roundtable manages coordination, shared context, and synthesized responses. It dispatches work to sub-agents (Gemini for analysis, Claude for reasoning, Codex for implementation, Cursor for tooling) in parallel, ensuring context continuity through a single context bundle passed to all agents. The primary agent provides the ground truth and project context to every sub-agent, enabling parallel execution, reduced wait times, and more accurate outcomes. Roundtable uses your existing CLI tools and API subscriptions with zero markup, so there is no extra cost. The server is designed to integrate with 26+ MCP-compatible IDEs and tools, offering a single interface that returns a synthesized final answer. Real-world prompts illustrate multi-agent delegation, shared insights, and automatic aggregation of findings into a cohesive solution.