Tetrad
Quadruple Consensus MCP Server for Claude Code
Tetrad is a high-performance MCP (Model Context Protocol) server written in Rust that orchestrates three AI-powered CLI code evaluation tools (Codex, Gemini CLI, Qwen) to validate all code produced by Claude Code.
The system implements a quadruple consensus protocol where no code or plan is accepted without approval from four intelligences: the three external evaluators + Claude Code itself.
Features
- Quadruple Consensus: 4 AI models must agree to approve code
- ReasoningBank: Continuous learning system with RETRIEVE→JUDGE→DISTILL→CONSOLIDATE cycle
- High Performance: Written in Rust with parallel execution via Tokio
- MCP Server: JSON-RPC 2.0 server over stdio for Claude Code integration
- Full CLI: Intuitive commands (
init,serve,status,doctor,config, etc.) - LRU Cache: Result caching with configurable TTL
- Hook System: Pre/post evaluation callbacks for customization
- Extensible: Plugin system for custom executors
- Cross-session: SQLite persistence for patterns and history
Quick Start
1. Install Tetrad
# Via cargo (recommended)
# Or build from source
2. Install External CLI Tools
Tetrad requires at least one of the following AI CLI tools:
# Codex CLI (OpenAI)
# Gemini CLI (Google)
# Qwen CLI (Alibaba)
3. Verify Installation
# Check Tetrad version
# Check CLI availability
# Diagnose any issues
4. Add to Claude Code CLI
# Add Tetrad as MCP server (available in all projects)
# Or for current project only
# Verify it's configured
5. Alternative: Manual Configuration
Create or edit .mcp.json in your project root:
Or for global user configuration in ~/.config/claude-code/settings.json:
How It Works
When you ask Claude Code to write code, Tetrad automatically validates it:
You: "Create a function in Rust that calculates the average of a vector"
Claude Code:
1. Writes the code
2. Calls tetrad_review_code automatically
3. Tetrad sends to Codex, Gemini and Qwen for evaluation
4. Returns consolidated consensus from all 3 evaluators
Tetrad Response:
┌─────────────────────────────────────────────┐
│ DECISION: PASS ✓ │
│ Score: 92/100 │
│ Consensus: Yes (3/3 approved) │
│ │
│ Votes: │
│ • Codex: Pass (95) │
│ • Gemini: Pass (90) │
│ • Qwen: Pass (92) │
│ │
│ Suggestions: │
│ - Consider handling empty vector case │
└─────────────────────────────────────────────┘
Claude Code: Saves the approved code
When Issues Are Found:
Tetrad Response:
┌─────────────────────────────────────────────┐
│ DECISION: BLOCK ✗ │
│ Score: 26/100 │
│ Consensus: Yes (3/3 rejected) │
│ │
│ Votes: │
│ • Codex: Fail (30) - division by zero │
│ • Gemini: Fail (25) - no error handling │
│ • Qwen: Fail (25) - unsafe operation │
│ │
│ Issues: │
│ - Division by zero not handled │
│ - Missing input validation │
│ - No Result/Option return type │
└─────────────────────────────────────────────┘
Claude Code: Fixes the code and resubmits
CLI Commands
tetrad - Quadruple Consensus CLI for Claude Code
COMMANDS:
init Initialize configuration in current directory
serve Start the MCP server (used by Claude Code)
status Show CLI status (codex, gemini, qwen)
config Configure options interactively
doctor Diagnose configuration issues
version Show version
evaluate Evaluate code manually (without MCP)
history Show evaluation history from ReasoningBank
export Export patterns from ReasoningBank
import Import patterns into ReasoningBank
OPTIONS:
-c, --config <FILE> Configuration file (default: tetrad.toml)
-v, --verbose Verbose mode
-q, --quiet Quiet mode
-h, --help Show help
MCP Tools
When running as MCP server, Tetrad exposes 6 tools:
| Tool | Description |
|---|---|
tetrad_review_plan |
Review implementation plans before coding |
tetrad_review_code |
Review code before saving |
tetrad_review_tests |
Review tests before finalizing |
tetrad_confirm |
Confirm agreement with received feedback |
tetrad_final_check |
Final verification before commit |
tetrad_status |
Check health of evaluators |
Workflow Example
1. Claude Code generates plan → tetrad_review_plan → Feedback
2. Claude Code implements → tetrad_review_code → Feedback
3. Claude Code adjusts → tetrad_confirm → Confirmation
4. Claude Code finalizes → tetrad_final_check → Certificate
Architecture
Claude Code → MCP Protocol (stdio) → Tetrad Server (Rust)
│
┌─────────────────────┼─────────────────────┐
▼ ▼ ▼
Codex CLI Gemini CLI Qwen CLI
(syntax) (architecture) (logic)
│ │ │
└─────────────────────┼─────────────────────┘
▼
Consensus Engine
│
┌─────────────┴─────────────┐
▼ ▼
LRU Cache ReasoningBank
(results) (SQLite)
RETRIEVE→JUDGE→DISTILL→CONSOLIDATE
Executor Specializations
| Executor | CLI | Specialization |
|---|---|---|
| Codex | codex exec --json |
Syntax and code conventions |
| Gemini | gemini -o json |
Architecture and design |
| Qwen | qwen |
Logic bugs and correctness |
Consensus Rules
| Rule | Requirement | Use Case |
|---|---|---|
| Golden | Unanimity (3/3) | Critical code, security |
| Strong | 3/3 or 2/3 with high confidence | Default |
| Weak | Simple majority (2/3) | Rapid prototyping |
ReasoningBank
The ReasoningBank is a continuous learning system that stores and consolidates code patterns:
Learning Cycle
RETRIEVE → JUDGE → DISTILL → CONSOLIDATE
│ │ │ │
│ │ │ └─ Merge similar patterns
│ │ └─ Extract new patterns
│ └─ Evaluate code with context
└─ Search for relevant patterns
Pattern Types
- AntiPattern: Patterns to avoid (bugs, vulnerabilities, code smells)
- GoodPattern: Patterns to follow (best practices, idiomatic patterns)
- Ambiguous: Patterns with uncertain classification (needs more data)
ReasoningBank Commands
# View evaluation history
# Export patterns to share
# Import patterns from another ReasoningBank
Configuration
The tetrad.toml file is created automatically with tetrad init:
[]
= "info"
= 60
[]
= true
= "codex"
= ["exec", "--json"]
= 30
[]
= true
= "gemini"
= ["-o", "json"]
= 30
[]
= true
= "qwen"
= []
= 30
[]
= "strong"
= 70
= 3
[]
= true
= "tetrad.db"
= 10
= 100
[]
= true
= 1000
= 300
Interactive Configuration
Use tetrad config for interactive configuration:
🔧 Tetrad Interactive Configuration
What would you like to configure?
❯ General Settings
Executors (Codex, Gemini, Qwen)
Consensus
ReasoningBank
Save and Exit
Exit without Saving
LRU Cache
The system includes an LRU cache to avoid unnecessary re-evaluations:
- Capacity: Configurable (default: 1000 entries)
- TTL: Configurable time-to-live (default: 5 minutes)
- Key: Hash of code + language + evaluation type
- Invalidation: Automatic by TTL or manual
Hook System
Hooks allow customizing behavior at specific points:
| Hook | When | Use |
|---|---|---|
pre_evaluate |
Before evaluation | Modify request, skip evaluation |
post_evaluate |
After evaluation | Logging, metrics, notifications |
on_consensus |
When consensus reached | Automatic actions on approval |
on_block |
When code blocked | Alerts, automatic rollback |
Built-in Hooks
- LoggingHook: Records all evaluations
- MetricsHook: Collects usage statistics
Project Structure
tetrad/
├── Cargo.toml # Crate manifest
├── CLAUDE.md # Documentation for Claude Code
├── README.md # This file
├── Tetrad.md # Complete specification
├── src/
│ ├── main.rs # Entry point (CLI)
│ ├── lib.rs # Exportable library
│ ├── cli/
│ │ ├── mod.rs # CLI definition with clap
│ │ ├── commands.rs # Command implementations
│ │ └── interactive.rs # Interactive configuration (dialoguer)
│ ├── executors/
│ │ ├── mod.rs
│ │ ├── base.rs # CliExecutor trait
│ │ ├── codex.rs # Codex executor
│ │ ├── gemini.rs # Gemini executor
│ │ └── qwen.rs # Qwen executor
│ ├── types/
│ │ ├── mod.rs
│ │ ├── config.rs # TOML configuration
│ │ ├── errors.rs # TetradError/TetradResult
│ │ ├── requests.rs # EvaluationRequest
│ │ └── responses.rs # EvaluationResult, ModelVote
│ ├── consensus/
│ │ ├── mod.rs # Exports
│ │ ├── engine.rs # ConsensusEngine
│ │ ├── aggregator.rs # Vote aggregation
│ │ └── rules.rs # Voting rules
│ ├── reasoning/
│ │ ├── mod.rs # Exports
│ │ ├── bank.rs # ReasoningBank
│ │ ├── patterns.rs # Pattern types
│ │ ├── sqlite.rs # SQLite storage
│ │ └── export.rs # Import/Export
│ ├── mcp/
│ │ ├── mod.rs # Exports
│ │ ├── server.rs # MCP server
│ │ ├── protocol.rs # JSON-RPC types
│ │ ├── tools.rs # Tool handlers
│ │ └── transport.rs # Stdio transport
│ ├── cache/
│ │ ├── mod.rs # Exports
│ │ └── lru.rs # LRU cache
│ └── hooks/
│ ├── mod.rs # Hook trait and HookSystem
│ └── builtin.rs # Default hooks
└── tests/
├── cli_integration.rs
├── consensus_integration.rs
├── mcp_integration.rs
└── reasoning_integration.rs
Development
# Build
# Tests
# Lint
# Format
# Documentation
# Run CLI
Troubleshooting
"CLI not found"
# Check if CLIs are in PATH
# Check configuration
"stdin is not a terminal" (Codex)
Make sure your config uses exec --json:
[]
= ["exec", "--json"]
"Response does not contain valid JSON" (Gemini)
Make sure your config uses -o json:
[]
= ["-o", "json"]
Check MCP status in Claude Code
Inside Claude Code, run:
/mcp
Prerequisites
To use Tetrad, you need at least one of the AI CLIs installed:
- Codex CLI: OpenAI Codex
- Gemini CLI: Google Gemini
- Qwen CLI: Alibaba Qwen
Check availability with:
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
MIT
Author
SamoraDC
Links: