title	date	tags	source	status
README	2025-11-04	chat-copilot auto-tagged	auto-import	imported

🚀 Universal MCP Servers Collection

Comprehensive collection of 40+ Model Context Protocol (MCP) servers for all major AI development tools

📋 Overview

This repository contains a comprehensive collection of 40+ MCP servers that provide powerful capabilities to AI development tools. All servers are portable and production-ready with one-command installation for multiple AI tools.

🎯 Supported AI Tools

• 📝 Cursor IDE - Full integration with all servers
• 📝 VS Code - Complete MCP extension support
• 📝 Claude Desktop - Native MCP integration
• 📝 GitHub Copilot CLI - Command-line MCP support
• 📝 Cursor CLI - Terminal-based MCP access
• 📝 Gemini CLI - Google's CLI with MCP support

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🚀 Quick Start

One-Command Installation

git clone https://github.com/kmransom56/universal-mcp-servers.git
cd universal-mcp-servers
./universal-mcp-installer.sh install-all

This will:

• ✅ Build all Node.js MCP servers
• ✅ Setup Python MCP servers with virtual environment
• ✅ Generate configurations for all AI tools
• ✅ Install configurations in correct locations
• ✅ Test all servers for functionality

Individual Tool Setup

# Cursor IDE only
./universal-mcp-installer.sh install-cursor

# VS Code only  
./universal-mcp-installer.sh install-vscode

# Claude Desktop only
./universal-mcp-installer.sh install-claude

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📊 MCP Server Categories

🤖 AI & Platform Integration (6 servers)

Server	Description	Language	Status
ai-mcp-platform	Gateway to AI platform services	Python	✅
memory	Persistent knowledge storage	Node.js	✅
everything	Universal search and retrieval	Node.js	✅
sequential-thinking	Structured reasoning workflows	Node.js	✅
openai	OpenAI API integration	Node.js	✅
aiautodash-mcp	AIAutoDash agent integration	Python	✅

📁 File & Data Operations (8 servers)

Server	Description	Language	Status
filesystem	Safe file system operations	Node.js	✅
git	Git repository operations	Python	✅
fetch	HTTP requests and API calls	Node.js	✅
sqlite	Database operations	Python	✅
gdrive	Google Drive integration	Node.js	✅
spreadsheet-processing	Excel/Google Sheets operations	Node.js	✅
data-validation	Data validation tools	Node.js	✅
file-compression	Archive/compression tools	Node.js	✅

🎨 Media Processing (4 servers)

Server	Description	Language	Status
image-processing	Image manipulation and analysis	Node.js	✅
audio-processing	Audio file operations	Node.js	✅
video-processing	Video file processing	Node.js	✅
pdf-processing	PDF document manipulation	Node.js	✅

🌐 Network & Infrastructure (6 servers)

Server	Description	Language	Status
fortinet	Fortinet device management (246+ APIs)	Python	✅
fortimanager	FortiManager integration	Python	✅
meraki	Cisco Meraki management (7,816+ devices)	Python	✅
network	General network tools	Python	✅
sentry	Error tracking and monitoring	Python	✅
time	Time and date operations	Python	✅

🛠️ Utility & Processing (3 servers)

Server	Description	Language	Status
text-processing	Advanced text manipulation	Node.js	✅
sequential-thinking	Chain-of-thought reasoning	Node.js	✅
data-validation	Data integrity validation	Node.js	✅

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🔧 Configuration Management

Automatic Configuration Generation

# Generate configs for all tools
python3 mcp-config-generator.py

# Check current status
./universal-mcp-installer.sh status

# Test all servers
./universal-mcp-installer.sh test

Manual Configuration

Each AI tool has its configuration stored in:

• Cursor: ~/.config/Cursor/mcp_config.json
• VS Code: ~/.vscode/settings.json
• Claude Desktop: ~/.config/claude-desktop/claude_desktop_config.json
• Copilot CLI: ~/.config/github-copilot/mcp_config.json
• Cursor CLI: ~/.config/cursor-cli/mcp_config.json
• Gemini CLI: ~/.config/gemini-cli/mcp_config.yaml

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🎯 Usage Examples

In Cursor IDE

1. Restart Cursor after installation
2. Command Palette → "MCP: List Servers" (should show 14+ servers)
3. Use in chat: "Use the git MCP server to show recent commits"
4. Use in chat: "Use the memory server to remember this important fact"

In VS Code

1. Install MCP extension (if needed)
2. Restart VS Code
3. Command Palette → "MCP: Connect to Servers"
4. Access tools via Command Palette or integrated chat

Command Line Usage

# GitHub Copilot CLI
gh copilot suggest --mcp-server memory "remember project architecture"

# Cursor CLI
cursor-cli --mcp git "analyze recent changes"

# Direct MCP server usage
node src/memory/dist/index.js
python3 -m mcp_server_git

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🛠️ Development

Adding New Servers

1. Create server in src/your-server-name/
2. Add package.json (Node.js) or pyproject.toml (Python)
3. Run python3 mcp-config-generator.py to update configs
4. Run ./universal-mcp-installer.sh install-all to deploy

Building from Source

# Build all Node.js servers
npm run build:all

# Setup Python servers
./universal-mcp-installer.sh setup-python

# Generate all configurations
npm run generate-configs

Testing

# Test all servers
npm test

# Test specific server
node src/memory/dist/index.js --help
python3 -m mcp_server_git --help

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📚 Documentation

Server Documentation

Each server includes:

• README.md - Server-specific documentation
• pyproject.toml or package.json - Dependencies and metadata
• Example usage and configuration

Tool Integration Guides

• Cursor IDE Integration
• VS Code Integration
• Claude Desktop Integration
• CLI Tools Integration

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🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/new-server)
3. Add your MCP server in src/your-server-name/
4. Update documentation
5. Test with ./universal-mcp-installer.sh test
6. Submit a pull request

Server Requirements

• Follow MCP protocol specification
• Include comprehensive README
• Add proper error handling
• Include tests where applicable
• Support stdio communication

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📄 License

MIT License - see LICENSE file for details.

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🆘 Support

• 📖 Documentation: Check individual server READMEs
• 🐛 Issues: GitHub Issues
• 💬 Discussions: GitHub Discussions

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🎉 Features

🔄 Universal Compatibility

• Works with 6+ AI development tools
• Portable configurations across different systems
• Environment variable support for API keys and settings

🛠️ Easy Management

• One-command installation for all tools
• Automatic building and dependency management
• Health checking and validation
• Backup system for existing configurations

📊 Production Ready

• Error handling and graceful failures
• Comprehensive logging and status reporting
• Virtual environment isolation for Python servers
• Dependency management for Node.js servers

🎯 Comprehensive Coverage

• AI Integration: Platform gateways, memory, reasoning
• File Operations: Git, filesystem, data processing
• Media Processing: Images, audio, video, PDFs
• Network Management: Fortinet, Meraki, monitoring
• Utilities: Text processing, validation, compression

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🎯 Transform your AI development workflow with 40+ powerful MCP servers!