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By nexusentis
Multi-agent quorum workflow — fans out tasks to Claude, Codex, Copilot, Cursor, and Gemini in parallel, then reconciles their outputs into a high-confidence recommendation. Use for planning, code review, implementation validation, bug diagnosis, and architecture decisions.
npx claudepluginhub nexusentis/quorum --plugin quorumDirectly analyzes code and answers prompts using filesystem exploration tools. Used exclusively by the /quorum skill for parallel fan-out alongside the relay agents.
Dispatches a prompt to OpenAI Codex CLI via the quorum-codex MCP server and returns the raw structured result. Used exclusively by the /quorum skill for parallel fan-out.
Dispatches a prompt to GitHub Copilot CLI (ACP mode with plain fallback) via the quorum-copilot MCP server and returns the raw structured result. Used exclusively by the /quorum skill for parallel fan-out.
Dispatches a prompt to Cursor CLI (Composer 2) via the quorum-cursor MCP server. Returns the raw structured result. Used exclusively by the /quorum skill for parallel fan-out.
Dispatches a prompt to Google Gemini CLI (gemini-3.1-pro) via the quorum-gemini MCP server and returns the raw structured result. Used exclusively by the /quorum skill for parallel fan-out.
Run a single quorum agent (claude, codex, copilot, cursor, or gemini) with a prompt. Usage - /quorum:agent <agent> <prompt>
Fan out a task to Claude, Codex, Copilot, Cursor, and Gemini in parallel, then reconcile their outputs into a high-confidence recommendation. Use for planning, code review, implementation validation, bug diagnosis, and architecture decisions — not for quick changes.
Cross-check: OpenAI Codex CLI wrapper (gpt-5.5-codex)
Cross-check: GitHub Copilot CLI wrapper (ACP + fallback)
Cross-check: Cursor CLI wrapper (Composer 2)
Cross-check: Google Gemini CLI wrapper (gemini-3.1-pro)
Quorum: fan out to all agents in parallel and return collected results
Admin access level
Server config contains admin-level keywords
Uses power tools
Uses Bash, Write, or Edit tools
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Delegate tasks to Codex, Gemini, and OpenCode AI agents via Owlex MCP
Multi-agent deliberation for AI coding assistants
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and gemini CLIs when installed) to get diverse perspectives on coding problems
Configurable multi-model code review, plan review, and general review with consensus convergence
Use when you want a delegated second opinion or implementation from GPT (Codex), Gemini, Grok (xAI), or OpenRouter (config-driven, 400+ models) - seven expert subagents (Architect, Plan Reviewer, Scope Analyst, Code Reviewer, Security Analyst, Researcher, Debugger) and bundled ask-gpt/ask-gemini/ask-grok/ask-openrouter/ask-all/consensus commands, advisory (read-only) or implementation (write; Grok and OpenRouter are advisory-only).
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
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Multi-agent MCP server that fans out prompts to Claude, Codex, Copilot, Cursor, and Gemini in parallel, then reconciles their outputs into a single high-confidence recommendation.
Install as a Claude Code plugin:
/plugin marketplace add nexusentis/quorum
/plugin install quorum@quorum-marketplace
Then install the agent CLIs you want to use (see Prerequisites), and run:
/quorum:run review this repo
Quorum works in two distinct ways depending on your editor:
Claude Code gets the complete experience: skills, relay agents, and blind judge reconciliation.
/quorum:run <prompt> — Fan out to all enabled agents, deduplicate findings, run blind judge scoring, and present a synthesized recommendation. Supports modes: review, review-codebase, architecture, implement, diagnose./quorum:agent <agent> <prompt> — Test a single agent and get the raw result back. Useful for debugging.Claude participates as both an agent (analyzing code directly) and the judge (scoring anonymized outputs). Agent identities are hidden during scoring to prevent bias.
Cursor, VS Code, Windsurf, and any other MCP-compatible client get access to the MCP tools directly. The client's own LLM decides how to use the results.
codex_query / copilot_query / cursor_query / gemini_query — Query a single agentquorum_query — Fan out to all enabled agents in parallel and return collected resultsNo skills, no relay agents, no blind judge — your editor's LLM handles interpretation.
Install directly as a plugin:
/plugin marketplace add nexusentis/quorum
/plugin install quorum@quorum-marketplace
This sets up everything automatically — MCP servers, relay agents, skills, and permissions. Restart Claude Code after installing.
.mcp.json — 5 MCP servers (4 individual agents + combined quorum)settings.json — Auto-approve permissions for all agent CLIs and MCP toolsagents/ — 5 relay agent definitions for parallel fan-out via the Task toolskills/ — /quorum:run (full orchestration) and /quorum:agent (single agent)quorum.config.json — Enable/disable individual agentsClone the repo and install dependencies:
git clone https://github.com/nexusentis/quorum.git
cd quorum/mcp-servers && npm install
# Restart Claude Code to pick up the MCP servers
.mcp.json{
"mcpServers": {
"quorum-codex": {
"command": "./mcp-servers/run.sh",
"args": ["codex-server.ts"],
"description": "Cross-check: OpenAI Codex CLI wrapper (gpt-5.5-codex)"
},
"quorum-copilot": {
"command": "./mcp-servers/run.sh",
"args": ["copilot-server.ts"],
"description": "Cross-check: GitHub Copilot CLI wrapper (ACP + fallback)"
},
"quorum-cursor": {
"command": "./mcp-servers/run.sh",
"args": ["cursor-server.ts"],
"description": "Cross-check: Cursor CLI wrapper (Composer 2)"
},
"quorum-gemini": {
"command": "./mcp-servers/run.sh",
"args": ["gemini-server.ts"],
"description": "Cross-check: Google Gemini CLI wrapper (gemini-3.1-pro)"
},
"quorum": {
"command": "./mcp-servers/run.sh",
"args": ["quorum-server.ts"],
"description": "Quorum: fan out to all agents in parallel and return collected results"
}
}
}
settings.json{
"permissions": {
"allow": [
"Bash(codex exec --full-auto --sandbox read-only *)",
"Bash(copilot -p * --silent *)",
"Bash(copilot --acp)",
"Bash(agent -p --force --trust *)",
"Bash(gemini -p * --yolo *)",
"mcp__quorum-codex__codex_query",
"mcp__quorum-copilot__copilot_query",
"mcp__quorum-cursor__cursor_query",
"mcp__quorum-gemini__gemini_query",
"mcp__quorum__quorum_query"
]
}
}
cd your-project
npx quorum-agents --setup cursor
This creates .cursor/mcp.json: