Last updated
March 16, 2026
MCP profile
Github SamoraDC Tetrad
Quadruple consensus MCP server for code validation using Codex, Gemini, and Qwen
Developer ToolsPackageJavaScript/TypeScriptOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
Quadruple consensus MCP server for code validation using Codex, Gemini, and Qwen This MCP server enables AI assistants like Claude to seamlessly interact with Github SamoraDC Tetrad, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Manage repositories and version control operations
- Review and analyze code changes
- Automate code review and quality checks
- Track issues and project management
Common Use Cases:
- AI-assisted code review and analysis
- Automating repository management tasks
- Streamlining development workflows
- Tracking and managing project issues
How It Works: Github SamoraDC Tetrad integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Github SamoraDC Tetrad's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: Package · Language: JavaScript/TypeScript
Capabilities
Quadruple Consensus: 4 AI models must agree to approve codeReasoningBank: Continuous learning system with RETRIEVE→JUDGE→DISTILL→CONSOLIDATE cycleHigh Performance: Written in Rust with parallel execution via TokioMCP Server: JSON-RPC 2.0 server over stdio for Claude Code integrationFull CLI: Intuitive commands (init, serve, status, doctor, config, etc.)LRU Cache: Result caching with configurable TTLHook System: Pre/post evaluation callbacks for customizationExtensible: Plugin system for custom executorsCross-session: SQLite persistence for patterns and history
Tools & Endpoints1
What Problems It Solves
- export OPENAI_API_KEY="your-openai-key" npm install -g @google/gemini-cli
Why Use Github SamoraDC Tetrad?
- 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
Specifications
Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
JavaScript/TypeScript
License
Open Source
Verified
Yes
Requirements
- To use Tetrad, you need at least one of the AI CLIs installed and authenticated:
- Check availability with:
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
JavaScript/TypeScript
npm install -g @openai/codex2
Configure
Configuration
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}"
}
}
}
}Performance
Usage
Quick Reference
- Name
- Github SamoraDC Tetrad
- Function
- Quadruple consensus MCP server for code validation using Codex, Gemini, and Qwen
- Available 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!
- Transport
- Package
- Language
- JavaScript/TypeScript
- Install
- npm install -g @openai/codex
- Source
- External (Registry)
- License
- Open Source
Get started
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