Orchestrates specialized AI sub-agents to solve complex engineering problems through parallel task delegation.
Roundtable is a powerful Model Context Protocol (MCP) server designed to expand the capabilities of a primary AI like Claude by delegating specific sub-tasks to other specialized models including Gemini, Codex, and Cursor. By leveraging model specialization and parallel execution, it allows developers to distribute complex workloads—such as simultaneous performance analysis, code review, and log inspection—across multiple AI assistants while maintaining shared project context for cohesive results.
Key Features
013 GitHub stars
02Zero-configuration orchestration for rapid multi-agent deployment
03Built-in availability checks for local AI CLI tools
04Specialized model routing for Gemini, Claude, Codex, and Cursor
05Shared context continuity across all delegated sub-agents
06Parallel execution of sub-tasks across multiple AI models
Use Cases
01Delegating infrastructure log review to one model while another performs security audits
02Analyzing frontend performance while simultaneously reviewing backend API efficiency
03Orchestrating cross-model code reviews to get diverse perspectives on complex logic
