roundtable
by askbudi·★ 107·Score 46
Zero-configuration MCP server coordinating multiple AI coding assistants through intelligent auto-discovery.
Overview
Roundtable AI is a local MCP server that allows users to delegate tasks from a single prompt in their IDE to specialized AI sub-agents like Gemini, Claude Code, Cursor, and Codex. The system maintains context continuity across all sub-agents, enables parallel execution of tasks, and leverages each model's strengths for specialized problem-solving. It uses existing CLI tools and API subscriptions without any markup, making it a cost-effective solution for complex engineering workflows.
Try asking AI
After installing, here are 5 things you can ask your AI assistant:
When to choose this
When you need to leverage multiple specialized AI models simultaneously for complex engineering tasks without manually switching between tools.
When NOT to choose this
If you're working offline or in environments with limited internet connectivity, as Roundtable requires access to various AI model APIs.
Tools this server exposes
1 tool extracted from the READMEroundtable-aiMCP server that delegates tasks to specialized AI sub-agents (Gemini, Claude, Codex, Cursor)
Note: The README describes a single MCP server (roundtable-ai) that coordinates sub-agents, but doesn't explicitly list individual tools exposed through MCP. The tool name was extracted from the CLI examples and configuration sections.
Comparable tools
Installation
Installation
Using pip (Standard)
pip install roundtable-aiUsing UV/UVX (Recommended for faster installs)
uvx roundtable-ai@latestClaude Desktop Integration
Add to ~/.config/claude_desktop_config.json:
{
"mcpServers": {
"roundtable-ai": {
"command": "roundtable-ai",
"env": {
"CLI_MCP_SUBAGENTS": "codex,claude,cursor,gemini"
}
}
}
}FAQ
- Does Roundtable AI require separate API keys for each AI model?
- No, Roundtable uses your existing CLI tools and API subscriptions with no additional markup.
- How does Roundtable handle context continuity between different AI models?
- The system packages the initial prompt and relevant context into a 'context bundle' that is passed to each sub-agent, ensuring all participants have the same ground truth without manual copy-pasting.
On Hacker News
Recent discussion from the developer community.
- Story by mahdiyar · 2025-09-25
- Story by mahdiyar · 2025-09-25
- Story by mahdiyar · 2025-09-28
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Last updated · Auto-generated from public README + GitHub signals.