Is the tetrad MCP server free to use?

Yes. tetrad is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Is the tetrad MCP server free to use?

Yes. tetrad is listed on AllMCPs as a free, open Model Context Protocol server you can install into Claude Desktop, Cursor, or any MCP-compatible client.

Tetrad

Quadruple consensus MCP server for code validation using Codex, Gemini, and Qwen

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "tetrad": {
      "command": "npx",
      "args": [
        "-y",
        "tetrad"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

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

bash

# Via npm (recommended - works seamlessly with Claude Code)
npm install -g @samoradc/tetrad

# Or via cargo (requires additional setup)
cargo install tetrad
sudo cp ~/.cargo/bin/tetrad /usr/local/bin/

1.1 Initialize in Your Project (Optional)

Terminal

npx @samoradc/tetrad init

This will:

Create tetrad.toml configuration file
Create .tetrad/ directory for the database
Add .tetrad/ to your .gitignore

2. Install and Configure External CLI Tools

Tetrad requires at least one of the following AI CLI tools. Good news: you don't need separate API keys if you have existing subscriptions!

Codex CLI (OpenAI)

Terminal

npm install -g @openai/codex

Authentication options:

Method	Requirements	API Key Needed?
ChatGPT Login	ChatGPT Plus, Pro, Business, Edu, or Enterprise subscription	No
API Key	OpenAI API account with credits	Yes

server.ts

# Option 1: Login with your ChatGPT subscription (recommended)
codex login
# Opens browser for OAuth - follow the prompts

# Option 2: Use API key
export OPENAI_API_KEY="your-openai-key"

Note: For headless/remote servers, use codex login --device-auth and follow the device code flow.

📖 Codex CLI Authentication Docs

Gemini CLI (Google)

Terminal

npm install -g @google/gemini-cli

Authentication options:

Method	Requirements	API Key Needed?	Free Tier
Google Login	Personal Google account	No	60 req/min, 1,000 req/day
API Key	Google AI Studio account	Yes	Same limits

server.ts

# Option 1: Login with Google account (recommended)
gemini auth login
# Opens browser for OAuth - follow the prompts

# Option 2: Use API key from Google AI Studio
export GEMINI_API_KEY="your-gemini-key"

Free Tier: With a personal Google account, you get access to Gemini 2.5 Pro with 1M token context window at no cost!

📖 Gemini CLI Authentication Docs

Qwen CLI (Alibaba)

Terminal

npm install -g qwen-code

Authentication options:

Method	Requirements	API Key Needed?	Free Tier
DashScope API	Alibaba Cloud account	Yes	2,000 req/day
Coding Plan	Qwen Coding subscription	Yes (different format)	Included

server.ts

# Get your API key from DashScope console
export DASHSCOPE_API_KEY="your-dashscope-key"

# For international users (outside China)
export OPENAI_BASE_URL="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"

Regional Endpoints:

Singapore: dashscope-intl.aliyuncs.com

Virginia: dashscope-us.aliyuncs.com

Beijing: dashscope.aliyuncs.com

📖 Qwen API Docs

3. Verify Installation

bash

# Check Tetrad version
tetrad version

# Check CLI availability
tetrad status

# Diagnose any issues
tetrad doctor

4. Add to Claude Code CLI

bash

# Add Tetrad as MCP server (all projects)
claude mcp add --scope user tetrad -- npx @samoradc/tetrad serve

# Verify it's configured
claude mcp list

Alternative installation methods

bash

# Current project only
claude mcp add tetrad -- npx @samoradc/tetrad serve

# If installed via cargo
claude mcp add --scope user tetrad -- tetrad serve

Note: Tetrad is published on the MCP Registry for discoverability and documentation.

5. Alternative: Manual Configuration

Create or edit .mcp.json in your project root:

config.json

{
  "mcpServers": {
    "tetrad": {
      "type": "stdio",
      "command": "npx",
      "args": ["@samoradc/tetrad", "serve"],
      "env": {
        "OPENAI_API_KEY": "${OPENAI_API_KEY}",
        "GOOGLE_API_KEY": "${GOOGLE_API_KEY}",
        "DASHSCOPE_API_KEY": "${DASHSCOPE_API_KEY}"
      }
    }
  }
}

Or for global user configuration in ~/.claude.json (mcpServers section):

config.json

{
  "mcpServers": {
    "tetrad": {
      "type": "stdio",
      "command": "npx",
      "args": ["@samoradc/tetrad", "serve"]
    }
  }
}

How It Works

When you ask Claude Code to write code, Tetrad automatically validates it:

Code

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:

Code

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

server.ts

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

Code

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

Code

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

Code

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

server.ts

# View evaluation history
tetrad history --limit 50

# Export patterns to share
tetrad export -o team-patterns.json

# Import patterns from another ReasoningBank
tetrad import team-patterns.json

Configuration

The tetrad.toml file is created automatically with tetrad init:

toml

[general]
log_level = "info"
timeout_secs = 60

[executors.codex]
enabled = true
command = "codex"
args = ["exec", "--json"]
timeout_secs = 30

[executors.gemini]
enabled = true
command = "gemini"
args = ["-o", "json"]
timeout_secs = 30

[executors.qwen]
enabled = true
command = "qwen"
args = []
timeout_secs = 30

[consensus]
default_rule = "strong"
min_score = 70
max_loops = 3

[reasoning]
enabled = true
db_path = ".tetrad/tetrad.db"
max_patterns_per_query = 10
consolidation_interval = 100

[cache]
enabled = true
capacity = 1000
ttl_secs = 300

Interactive Configuration

Use tetrad config for interactive configuration:

Code

🔧 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

Code

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

bash

# Build
cargo build
cargo build --release

# Tests
cargo test                          # All tests
cargo test --lib                    # Unit tests only
cargo test --tests                  # Integration tests only

# Lint
cargo clippy --all-targets --all-features -- -D warnings

# Format
cargo fmt
cargo fmt --check

# Documentation
cargo doc --open

# Run CLI
cargo run -- status
cargo run -- doctor
cargo run -- version
cargo run -- config

Troubleshooting

"CLI not found"

bash

# Check if CLIs are in PATH
which codex
which gemini
which qwen

# Check configuration
tetrad doctor

"stdin is not a terminal" (Codex)

Make sure your config uses exec --json:

toml

[executors.codex]
args = ["exec", "--json"]

"Response does not contain valid JSON" (Gemini)

Make sure your config uses -o json:

toml

[executors.gemini]
args = ["-o", "json"]

Check MCP status in Claude Code

Inside Claude Code, run:

Code

/mcp

Prerequisites

To use Tetrad, you need at least one of the AI CLIs installed and authenticated:

CLI	Installation	Auth Without API Key?	Free Tier
Codex CLI	`npm i -g @openai/codex`	✅ ChatGPT Plus/Pro/Business	Via subscription
Gemini CLI	`npm i -g @google/gemini-cli`	✅ Google account	1,000 req/day
Qwen CLI	`npm i -g qwen-code`	❌ DashScope key required	2,000 req/day

Check availability with:

bash

tetrad status
tetrad doctor

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:

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Frequently Asked Questions about Tetrad

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "tetrad": { "command": "npx", "args": ["-y", "tetrad"] } }

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Tetrad →Install in Claude Desktop Install in Cursor Install in VS Code

Tetrad

Quadruple consensus MCP server for code validation using Codex, Gemini, and Qwen

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Install Config Generator

Choose your client

claude_desktop_config.json

{
  "mcpServers": {
    "tetrad": {
      "command": "npx",
      "args": [
        "-y",
        "tetrad"
      ]
    }
  }
}

💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Documentation Overview

Tetrad

Quadruple Consensus MCP Server for 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

bash

# Via npm (recommended - works seamlessly with Claude Code)
npm install -g @samoradc/tetrad

# Or via cargo (requires additional setup)
cargo install tetrad
sudo cp ~/.cargo/bin/tetrad /usr/local/bin/

1.1 Initialize in Your Project (Optional)

Terminal

npx @samoradc/tetrad init

This will:

Create tetrad.toml configuration file
Create .tetrad/ directory for the database
Add .tetrad/ to your .gitignore

2. Install and Configure External CLI Tools

Tetrad requires at least one of the following AI CLI tools. Good news: you don't need separate API keys if you have existing subscriptions!

Codex CLI (OpenAI)

Terminal

npm install -g @openai/codex

Authentication options:

Method	Requirements	API Key Needed?
ChatGPT Login	ChatGPT Plus, Pro, Business, Edu, or Enterprise subscription	No
API Key	OpenAI API account with credits	Yes

server.ts

# Option 1: Login with your ChatGPT subscription (recommended)
codex login
# Opens browser for OAuth - follow the prompts

# Option 2: Use API key
export OPENAI_API_KEY="your-openai-key"

Note: For headless/remote servers, use codex login --device-auth and follow the device code flow.

📖 Codex CLI Authentication Docs

Gemini CLI (Google)

Terminal

npm install -g @google/gemini-cli

Authentication options:

Method	Requirements	API Key Needed?	Free Tier
Google Login	Personal Google account	No	60 req/min, 1,000 req/day
API Key	Google AI Studio account	Yes	Same limits

server.ts

# Option 1: Login with Google account (recommended)
gemini auth login
# Opens browser for OAuth - follow the prompts

# Option 2: Use API key from Google AI Studio
export GEMINI_API_KEY="your-gemini-key"

Free Tier: With a personal Google account, you get access to Gemini 2.5 Pro with 1M token context window at no cost!

📖 Gemini CLI Authentication Docs

Qwen CLI (Alibaba)

Terminal

npm install -g qwen-code

Authentication options:

Method	Requirements	API Key Needed?	Free Tier
DashScope API	Alibaba Cloud account	Yes	2,000 req/day
Coding Plan	Qwen Coding subscription	Yes (different format)	Included

server.ts

# Get your API key from DashScope console
export DASHSCOPE_API_KEY="your-dashscope-key"

# For international users (outside China)
export OPENAI_BASE_URL="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"

Regional Endpoints:

Singapore: dashscope-intl.aliyuncs.com

Virginia: dashscope-us.aliyuncs.com

Beijing: dashscope.aliyuncs.com

📖 Qwen API Docs

3. Verify Installation

bash

# Check Tetrad version
tetrad version

# Check CLI availability
tetrad status

# Diagnose any issues
tetrad doctor

4. Add to Claude Code CLI

bash

# Add Tetrad as MCP server (all projects)
claude mcp add --scope user tetrad -- npx @samoradc/tetrad serve

# Verify it's configured
claude mcp list

Alternative installation methods

bash

# Current project only
claude mcp add tetrad -- npx @samoradc/tetrad serve

# If installed via cargo
claude mcp add --scope user tetrad -- tetrad serve

Note: Tetrad is published on the MCP Registry for discoverability and documentation.

5. Alternative: Manual Configuration

Create or edit .mcp.json in your project root:

config.json

{
  "mcpServers": {
    "tetrad": {
      "type": "stdio",
      "command": "npx",
      "args": ["@samoradc/tetrad", "serve"],
      "env": {
        "OPENAI_API_KEY": "${OPENAI_API_KEY}",
        "GOOGLE_API_KEY": "${GOOGLE_API_KEY}",
        "DASHSCOPE_API_KEY": "${DASHSCOPE_API_KEY}"
      }
    }
  }
}

Or for global user configuration in ~/.claude.json (mcpServers section):

config.json

{
  "mcpServers": {
    "tetrad": {
      "type": "stdio",
      "command": "npx",
      "args": ["@samoradc/tetrad", "serve"]
    }
  }
}

How It Works

When you ask Claude Code to write code, Tetrad automatically validates it:

Code

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:

Code

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

server.ts

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

Code

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

Code

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

Code

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

server.ts

# View evaluation history
tetrad history --limit 50

# Export patterns to share
tetrad export -o team-patterns.json

# Import patterns from another ReasoningBank
tetrad import team-patterns.json

Configuration

The tetrad.toml file is created automatically with tetrad init:

toml

[general]
log_level = "info"
timeout_secs = 60

[executors.codex]
enabled = true
command = "codex"
args = ["exec", "--json"]
timeout_secs = 30

[executors.gemini]
enabled = true
command = "gemini"
args = ["-o", "json"]
timeout_secs = 30

[executors.qwen]
enabled = true
command = "qwen"
args = []
timeout_secs = 30

[consensus]
default_rule = "strong"
min_score = 70
max_loops = 3

[reasoning]
enabled = true
db_path = ".tetrad/tetrad.db"
max_patterns_per_query = 10
consolidation_interval = 100

[cache]
enabled = true
capacity = 1000
ttl_secs = 300

Interactive Configuration

Use tetrad config for interactive configuration:

Code

🔧 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

Code

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

bash

# Build
cargo build
cargo build --release

# Tests
cargo test                          # All tests
cargo test --lib                    # Unit tests only
cargo test --tests                  # Integration tests only

# Lint
cargo clippy --all-targets --all-features -- -D warnings

# Format
cargo fmt
cargo fmt --check

# Documentation
cargo doc --open

# Run CLI
cargo run -- status
cargo run -- doctor
cargo run -- version
cargo run -- config

Troubleshooting

"CLI not found"

bash

# Check if CLIs are in PATH
which codex
which gemini
which qwen

# Check configuration
tetrad doctor

"stdin is not a terminal" (Codex)

Make sure your config uses exec --json:

toml

[executors.codex]
args = ["exec", "--json"]

"Response does not contain valid JSON" (Gemini)

Make sure your config uses -o json:

toml

[executors.gemini]
args = ["-o", "json"]

Check MCP status in Claude Code

Inside Claude Code, run:

Code

/mcp

Prerequisites

To use Tetrad, you need at least one of the AI CLIs installed and authenticated:

CLI	Installation	Auth Without API Key?	Free Tier
Codex CLI	`npm i -g @openai/codex`	✅ ChatGPT Plus/Pro/Business	Via subscription
Gemini CLI	`npm i -g @google/gemini-cli`	✅ Google account	1,000 req/day
Qwen CLI	`npm i -g qwen-code`	❌ DashScope key required	2,000 req/day

Check availability with:

bash

tetrad status
tetrad doctor

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:

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Frequently Asked Questions about Tetrad

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "tetrad": { "command": "npx", "args": ["-y", "tetrad"] } }

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