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io.github.omarkeshk/council-ai

Official

by omarkeshk

Multi-LLM council MCP: parallel frontier models, consensus scoring, verdict-first code review

io.github.omarkeshk/council-ai (MCP) — Multi-LLM Council AI Server

This MCP server provides a multi-LLM council workflow for code review. It uses parallel frontier models and applies consensus scoring to produce a verdict-first review, emphasizing verdicts early in the process.

🛠️ Key Features

  • Multi-LLM council approach
  • Parallel frontier model execution
  • Consensus scoring
  • Verdict-first code review
  • Tooling exposed via MCP

🚀 Use Cases

  • AI-assisted code review with multiple LLMs
  • Comparing outputs from “frontier models” and scoring agreement
  • Producing an early verdict before deeper review details

⚡ Developer Benefits

  • Clear separation of verdict and review flow
  • Multi-model reasoning via consensus scoring
  • Integration-ready via MCP with declared tool support

⚠️ Limitations

  • Focused on code review; described capabilities are tied to the council and consensus workflow

Topics

ai-code-reviewclaude-codeclaude-code-plugincode-reviewllm-councilmcpmulti-model
io.github.omarkeshk/council-ai - agentage MCP Catalog