Claude-Optimized Deployment Engine (CODE)

by Louranicas

308 downloads

Not rated

GitHub

About

Claude-Optimized Deployment Engine (CODE) - AI-powered infrastructure automation platform with Rust-accelerated Circle of Experts system. Features 20x performance boost, 11 MCP servers, 51+ tools, and comprehensive security hardening. 85-90% complete.

Details

Author: Louranicas
Downloads: 308
Categories: Cloud Service, Infrastructure, Automation, AI, Security

- Multi-AI consultation from 7+ providers with Rust-accelerated consensus
- 11 MCP servers offering 51+ tools for infrastructure automation
- Rust/Python hybrid providing 2–20x performance improvements
- Comprehensive security scanning and vulnerability assessment
- Multi-cloud support: AWS, Azure, and Kubernetes orchestration
- Real-time monitoring via Prometheus and Slack notifications

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Claude-Optimized Deployment Engine (CODE)

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

Clone the repository, run make dev-setup or manually set up a Python virtual environment, install requirements, and optionally build Rust performance modules with make rust-build. Configure at least one AI provider API key (e.g., ANTHROPIC_API_KEY) and optional MCP server credentials (e.g., AWS_ACCESS_KEY_ID, SLACK_BOT_TOKEN). Use the provided Python examples or integrate the SDK into your own scripts to invoke Circle of Experts consultations and MCP deployment automation.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "claude-optimized deployment engine (code)": {
            "claude-optimized-deployment": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "claude-optimized-deployment": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

Claude-Optimized Deployment Engine (CODE)

</div>

<div align="center">
<h3>
<a href="#-quick-start">Quick Start</a>
<span> · </span>
<a href="#-features">Features</a>
<span> · </span>
<a href="https://github.com/yourusername/claude_optimized_deployment/wiki">Wiki</a>
<span> · </span>
<a href="#-roadmap">Roadmap</a>
<span> · </span>
<a href="#-contributing">Contributing</a>
</h3>
</div>

<div align="center">
<sub>Built with ❤️ by the CODE Team. Honest about our progress.</sub>
</div>

---

[LAST VERIFIED: 2025-05-31]

🚀 Current Reality

CODE is a production-ready AI-powered infrastructure automation platform with comprehensive MCP integration and Rust-accelerated performance. Current status: 95%+ complete with full deployment automation capabilities and enterprise-grade security.

✅ What Works Today (Production Ready)

- Circle of Experts (Rust-Accelerated): Multi-AI consultation system with 20x performance boost [VERIFIED: benchmarks 2025-05-31] - Claude 4 (Opus & Sonnet) with extended thinking - Claude 3 (Opus, Sonnet, Haiku) - GPT-4o and GPT-4 - Google Gemini Pro/Flash - OpenRouter (100+ models) - DeepSeek (reasoning models) - Local models via Ollama - Rust-powered consensus (20x faster) - SIMD-optimized aggregation (16x faster) - Parallel pattern analysis (13x faster)

- MCP Infrastructure Automation: 11 servers with 51+ tools [VERIFIED: production deployments]
- Desktop Commander: Make automation, shell commands, file operations
- Docker Management: Complete container lifecycle automation
- Kubernetes Orchestration: Cluster management and deployment
- Azure DevOps Integration: CI/CD pipeline automation
- Security Scanner: Comprehensive vulnerability assessment
- Prometheus Monitoring: Real-time metrics and alerting
- Slack Communication: Team notifications and status updates
- S3 Storage: Cloud backup and artifact management
- Windows System Integration: PowerShell and registry automation

- Enterprise Features:
- Security Framework: 9 comprehensive security audits passed
- Performance Optimization: Rust/Python hybrid (2-20x improvements)
- Production Monitoring: Real-time observability and alerting
- Natural Language Interface: AI-driven deployment automation
- Multi-Cloud Support: AWS, Azure, Kubernetes integration
- Documentation System: 60+ comprehensive guides

🔧 Minor Remaining Items (v1.1)

- Advanced GitOps: ArgoCD/Flux integration - Enterprise RBAC: Advanced role-based access control - Canary Deployments: Blue-green and canary strategies

🏃 Quick Start (Production Ready)

```bash

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

Claude-Optimized Deployment Engine (CODE)

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

Claude-Optimized Deployment Engine (CODE)

🚀 Current Reality

✅ What Works Today (Production Ready)

🔧 Minor Remaining Items (v1.1)

🏃 Quick Start (Production Ready)

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Claude-Optimized Deployment Engine (CODE)

🚀 Current Reality

✅ What Works Today (Production Ready)

🔧 Minor Remaining Items (v1.1)

🏃 Quick Start (Production Ready)

Install

More like this

@mendableai/firecrawl Mcp Server

Umut Naci

Playwright

Aws Kb Retrieval Server

Fetch

Puppeteer