Code Council

One AI can miss things. A council of AIs catches more.

Code Council runs your code through multiple AI models simultaneously, then shows you where theyagree, where theydisagree, and whatonly one model caught.

## Consensus Analysis ### Unanimous (All 4 models agree) - High Confidence Critical: SQL Injection Vulnerability Location: src/api/users.ts:42 The user input is directly interpolated into the SQL query without sanitization. Use parameterized queries instead. --- ### Majority (3 of 4 models) - Moderate Confidence High: Missing Input Validation Location: src/api/users.ts:38 The userId parameter is used without validation. Add type checking. --- ### Disagreement - Your Judgment Needed Session Token Expiration Location: src/api/auth.ts:28 - Kimi K2.5: "Tokens should expire after 24 hours" - DeepSeek V3.2: "Current 7-day expiration is reasonable for this use case" - Minimax M2.1: "No issue found" --- ### Single Model Finding - Worth Checking Low: Magic Number Location: src/utils/pagination.ts:12 Found by: GLM 4.7 The value 20 should be extracted to a named constant.

Different AI models have different strengths:

- One modelmight miss a security issue another catches
- Unanimous findingsare almost certainly real problems
- Disagreementshighlight where you should look closer
- Single-model findingsmight be noise, or might be the one model that saw something others missed

Think of it as getting 4 senior engineers to review your code at once.

MCP Server (Claude Desktop, Cursor, etc.)

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.jsonon macOS):

{ "mcpServers": { "code-council": { "command": "npx", "args": ["-y", "@klitchevo/code-council"], "env": { "OPENROUTER_API_KEY": "your-api-key-here" } } } }

That's it. Ask Claude:"Use review_code to check this function: [paste code]"

# Review git changes npx @klitchevo/code-council review git --review-type diff # Review with inline PR comments format (for GitHub Actions) npx @klitchevo/code-council review git --review-type diff --format pr-comments # Review code from stdin echo "function foo() {}" | npx @klitchevo/code-council review code # Review with custom models npx @klitchevo/code-council review git --models "anthropic/claude-sonnet-4,openai/gpt-4o" # Show help npx @klitchevo/code-council review --help

More setup options:SeeConfiguration Guidefor Cursor, VS Code, custom models, and advanced options.

npx @klitchevo/code-council setup workflow

name: Code Council Review on: pull_request: types: [opened, synchronize, ready_for_review, reopened] jobs: review: runs-on: ubuntu-latest if: github.event.pull_request.draft == false permissions: contents: read pull-requests: write steps: - uses: actions/checkout@v4 with: fetch-depth: 0 - uses: actions/setup-node@v4 with: node-version: '20' - name: Run Code Council Review env: OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }} run: | npx @klitchevo/code-council review git \ --review-type diff \ --format pr-comments \ > review.json - name: Post Review env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | gh api repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }}/reviews \ --method POST \ --input review.json

AddOPENROUTER_API_KEYto your repository secrets (Settings > Secrets > Actions).

Full tool reference:SeeTools Referencefor all parameters and examples.

- Configuration Guide- MCP client setup, config files, environment variables
- Model Selection- Choose models, pricing, performance tradeoffs
- Tools Reference- Detailed tool parameters and examples

{ "env": { "OPENROUTER_API_KEY": "your-api-key", "CODE_REVIEW_MODELS": ["anthropic/claude-sonnet-4.5", "openai/gpt-4o"] } }

Default models are chosen for cost-effectiveness (~$0.01-0.05 per review).

Swap in Claude/GPT-4 for higher quality at higher cost (~$0.10-0.30 per review).

SeeModel Selection Guidefor pricing details and optimization tips.

- Node.js >= 18.0.0
- OpenRouterAPI key
- MCP-compatible client (Claude Desktop, Cursor, etc.)

Models returning errorsCheck your OpenRouter credits and model availability atstatus.openrouter.ai.

- Documentation- Full docs and examples
- OpenRouter- Multi-model AI API
- Model Context Protocol- MCP specification
- Claude Desktop- MCP-compatible AI assistant

An MCP server that gives AI agents deep understanding of C# codebases via Roslyn — type search, dependency graphs, usage analysis, and architecture overviews, all from a live in-memory compilation.