Aegntic MCP Collection

A comprehensive collection of Model Context Protocol (MCP) servers for AI agents, providing advanced capabilities for documentation, authentication, data analysis, image generation, and more.

🚀 Quick Start

# Clone the repository
git clone https://github.com/aegntic/aegntic-mcp.git
cd aegntic-mcp

# Run the automated setup script
./setup.sh

# Configure your Claude Desktop or other MCP client

Unified MCP Configuration

We maintain a unified MCP configuration approach that works seamlessly across both Claude Desktop and Claude Code. This configuration lives in:

Claude Desktop: ~/.config/Claude/claude_desktop_config.json
Claude Code: ~/.config/claude-code/mcp_servers.json
Global MCP Servers: ~/.mcp-servers/ (for locally developed servers)

Benefits of Unified Configuration

Single Source of Truth: One configuration works across all Claude environments
Easy Management: Add or update servers in one place
Consistent Paths: Servers work regardless of which Claude interface you're using
Development Friendly: Local servers are stored in a dedicated global directory

📦 MCP Servers Included

🎬 Content Creation & Documentation

dailydoco-pro - Elite automated documentation platform with AI test audiences
comfyui-mcp - AI image generation, video creation, and editing via ComfyUI

🔐 Authentication & User Management

aegntic-auth - User registration, licensing, and email management system
aegnt-27 - Human authenticity engine for AI detection resistance

🧠 Knowledge & Memory

graphiti-mcp - Temporal knowledge graph memory system for AI agents
n8n-pro - Comprehensive n8n workflow documentation and management (525+ nodes)

🔨 Development & Automation

just-prompt - Multi-LLM prompt orchestration with CEO/board decision making
quick-data - Quick data analysis, visualization, and insights

Available MCP Servers

Server	Type	Description	Installation Path
Aegntic Knowledge Engine	Local/UV	Zero-cost unified knowledge engine with web crawling, RAG, memory graph, task management, and documentation context (20 tools)	`servers/aegntic-knowledge-engine`
AI Collaboration Hub	Local/UV	AI-powered collaboration tools with OpenRouter integration	`~/.mcp-servers/ai-collaboration-hub`
Claude Export MCP	NPM	Export Claude Desktop projects, conversations, and artifacts to Markdown format	`npx @aegntic/claude-export-mcp`
Firebase Studio MCP	NPM	Complete access to Firebase and Google Cloud services	`npx @aegntic/firebase-studio-mcp`
n8n MCP	NPM	Limitless n8n workflow automation with no restrictions	`npx @leonardsellem/n8n-mcp-server`
Docker MCP	UVX	Comprehensive Docker container and image management with Docker Hub integration	`uvx mcp-server-docker`
Just Prompt	Local/UV	Advanced prompt orchestration and model routing	`/home/tabs/ae-co-system/CLAEM/just-prompt-orchestration/just-prompt`
Quick Data	Local/UV	Fast data processing and analysis tools	`/home/tabs/ae-co-system/DAILYDOCO/quick-data-mcp`
DailyDoco Pro	Local/Node	Professional documentation and project management	`~/.mcp-servers/dailydoco-pro`
Aegnt-27	Local/Node	Advanced AI agent capabilities	`~/.mcp-servers/aegnt-27`
Aegnt-27-lib	Local/Node	AI agent library and utilities	`~/.mcp-servers/aegnt-27-lib`

Additional Integrated Servers

These servers are included in our unified configuration:

Server	Type	Description
filesystem	NPM	File system operations
memory	NPM	Memory and knowledge management
context7	NPM	Context management for AI conversations
puppeteer	NPM	Browser automation with Playwright
sequentialthinking	NPM	Sequential thinking and reasoning tools
github	Smithery	GitHub integration and operations
exa	Smithery	Advanced search capabilities
smithery	Smithery	Smithery toolbox utilities
desktop-commander	Smithery	Desktop automation and control
ppick	UVX	Process picking and management
notionApi	NPM	Notion API integration
supabase	NPM	Supabase database integration

Installation & Setup

1. Global MCP Servers Directory

First, ensure you have the global MCP servers directory:

mkdir -p ~/.mcp-servers

2. Install Runtime Requirements

Python Servers (UV)

# Install UV package manager
curl -LsSf https://astral.sh/uv/install.sh | sh

Node.js Servers

# Ensure Node.js 14+ is installed
node --version
npm --version

3. Configure Unified MCP Settings

For Claude Desktop

Create or update ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "dailydoco-pro": {
      "command": "node",
      "args": ["/path/to/aegntic-MCP/dailydoco-pro/dist/index.js"],
      "env": {
        "USER_EMAIL": "your-email@example.com"
      }
    },
    "aegnt-27": {
      "command": "node", 
      "args": ["/path/to/aegntic-MCP/aegnt-27/dist/index.js"],
      "env": {
        "USER_EMAIL": "your-email@example.com"
      }
    },
    "comfyui": {
      "command": "node",
      "args": ["/path/to/aegntic-MCP/comfyui-mcp/dist/index.js"],
      "env": {
        "COMFYUI_HOST": "http://localhost:8188",
        "USER_EMAIL": "your-email@example.com"
      }
    },
    "aegntic-auth": {
      "command": "node",
      "args": ["/path/to/aegntic-MCP/aegntic-auth/dist/index.js"],
      "env": {
        "SUPABASE_URL": "your-supabase-url",
        "SUPABASE_ANON_KEY": "your-supabase-key"
      }
    },
    "graphiti": {
      "command": "uv",
      "args": [
        "run", "--directory", "/path/to/aegntic-MCP/graphiti-mcp",
        "python", "graphiti_mcp_server.py", "--transport", "stdio"
      ],
      "env": {
        "NEO4J_URI": "bolt://localhost:7687",
        "NEO4J_USER": "neo4j", 
        "NEO4J_PASSWORD": "your-password",
        "OPENAI_API_KEY": "your-openai-key"
      }
    },
    "n8n-pro": {
      "command": "node",
      "args": ["/path/to/aegntic-MCP/n8n-pro/dist/mcp/index.js"],
      "env": {
        "N8N_API_URL": "http://localhost:5678",
        "N8N_API_KEY": "your-n8n-api-key"
      }
    },
    "just-prompt": {
      "command": "uv",
      "args": [
        "run", "--directory", "/path/to/aegntic-MCP/just-prompt",
        "just-prompt"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-openrouter-key"
      }
    },
    "quick-data": {
      "command": "uv", 
      "args": [
        "run", "--directory", "/path/to/aegntic-MCP/quick-data",
        "python", "main.py"
      ]
    },

    // Additional NPM-based servers
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/tabs"],
      "env": {}
    },

    // UVX-based servers
    "docker": {
      "command": "uvx",
      "args": ["mcp-server-docker"],
      "env": {}
    },

    // Additional integrated servers
    "ai-collaboration-hub": {
      "command": "uv",
      "args": ["run", "python", "-m", "ai_collaboration_hub.server"],
      "cwd": "/home/tabs/ae-co-system/aegntic-MCP/servers/ai-collaboration-hub",
      "env": {
        "OPENROUTER_API_KEY": "your-key-here"
      }
    }
    }
  }
}

For Claude Code

Create or update ~/.config/claude-code/mcp_servers.json with the same structure.

4. Server-Specific Setup

Local Development Servers

For servers like DailyDoco Pro, Aegnt-27:

cd ~/.mcp-servers/server-name
npm install
npm run build

Python UV Servers

For servers like AI Collaboration Hub:

cd /path/to/server
uv sync
uv run python -m module_name.server

🔧 Development Setup

Each MCP server has its own development environment:

TypeScript/Node.js Servers

cd server-directory
npm install
npm run build
npm start

Python Servers

cd server-directory
uv sync
uv run python main.py  # or specific entry point

📚 Server Capabilities

Server	Language	Capabilities
dailydoco-pro	TypeScript	Project analysis, video capture, AI test audiences, brand management
aegnt-27	TypeScript	Mouse/typing authenticity, AI detection resistance, audio processing
comfyui-mcp	TypeScript	Image generation, video creation, background removal, logo design
aegntic-auth	TypeScript	User registration, Stripe payments, email campaigns, usage tracking
graphiti-mcp	Python	Knowledge graphs, memory storage, entity extraction, temporal data
n8n-pro	TypeScript	n8n documentation (525+ nodes), workflow validation, node information, AI tool detection
just-prompt	Python	Multi-LLM prompting, model comparison, CEO decision making
quick-data	Python	Data analysis, visualization, statistical insights, ML features

🌟 Key Features

Advanced AI Capabilities

Temporal Knowledge Graphs - Store and retrieve contextual memory over time
Multi-LLM Orchestration - Compare responses across different AI models
Human Authenticity - Generate human-like interactions resistant to AI detection
Automated Documentation - AI-powered documentation generation with test audiences

Enterprise Ready

User Management - Complete authentication and licensing system
Usage Tracking - Monitor API usage and enforce limits
Payment Integration - Stripe-powered subscription management
Data Analysis - Professional data visualization and insights

Developer Tools

Workflow Automation - Comprehensive n8n integration and management
Image/Video Generation - Professional media creation workflows
Project Analysis - Automated code documentation and insights

What is MCP?

The Model Context Protocol (MCP) is a standard for extending the capabilities of AI assistants like Claude by giving them access to external tools and services. These servers implement the MCP standard to provide specialized functionality that can be used directly from within Claude conversations.

Using These Servers

Each server in this repository can be installed and run independently. See the README in each server's directory for specific installation and usage instructions.

Runtime Requirements

Python Servers (Aegntic Knowledge Engine, AI Collaboration Hub): Requires Python 3.12+ and UV package manager
Node.js Servers (All others): Requires Node.js 14+ and npm/npx
Local Servers: Built and stored in ~/.mcp-servers/

General Usage

Configure the server in your Claude Desktop or Claude Code configuration file
Restart Claude to load the new configuration
Use the tools provided by the server directly in your Claude conversation

🔒 Security & Authentication

All servers include built-in security features: - API key authentication - Rate limiting and usage tracking - Secure environment variable handling - Input validation and sanitization

📖 Documentation

Each server includes comprehensive documentation: - Setup and installation guides - API reference and examples - Configuration options - Troubleshooting guides

See individual server README files for detailed information.

🤝 Contributing

Fork the repository
Create a feature branch
Make your changes
Add tests if applicable
Submit a pull request

📄 License

This project is licensed under the MIT License - see individual server LICENSE files for details.

🆘 Support

Create an issue for bug reports
Check individual server documentation
Join our community discussions

Built with ❤️ for the AI agent ecosystem

aegntic-MCP

Author

aegntic

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