MCP Server Suite

🚀 mcp-server-suite

mcp-server-suite is a comprehensive collection of MCP (Model Context Protocol) servers, aiming to become the "HuggingFace of the automation field". Our vision is to create a community-driven platform where developers can both use off-the-shelf servers and contribute their own, making automation and AI-driven workflows accessible to everyone.

✨ Features

• MCP Core: Enables flexible context management.
• Modular Architecture: Facilitates the addition of new tools and services.
• Growing Collection of Ready-to-Use MCP Servers: Continuously expanding.
• Easy Integration with APIs and External Systems: Seamlessly connects.
• Support for Environment Variables via .env File: Simplifies configuration.
• Community-Driven Expansion and Customization: Empowers the community.

📦 Existing Servers

Core Servers

• Web Search Server: Integrates web search functionality using the Tavily API.
• File Explorer Server: Enables secure file system operations with progress reporting.
• PostgreSQL Server: Supports both synchronous and asynchronous database operations.
• More features are coming soon!

🚀 Quick Start

Prerequisites

• Python 3.13 or higher.
• UV - A fast Python package installer and resolver.

Installation

1. Clone the repository:

   git clone https://github.com/Dadiya-Harsh/mcp-server-suite.git
   cd mcp-server-suite
   

2. Install UV if not already installed:

   pip install uv
   

3. Create and activate a virtual environment:

   uv venv
   # On Windows:
   .venv\Scripts\activate
   # On Unix/macOS:
   source .venv/bin/activate
   

4. Install dependencies using UV:

   uv pip install -e .
   

5. Set environment variables in the .env file:

   # For the Web Search Server
   TAVILY_API_KEY=your_api_key_here
   
   # For the PostgreSQL Server
   DATABASE_URI=postgresql://user:password@localhost:5432
   
   # For the File Explorer Server
   ALLOWED_BASE_PATH=E:\Your\Safe\Path
   

Running the Servers

Each server can be run independently:

# Web Search Server
python web_search/web_search_sse.py

# File Explorer Server
python file_explore/basic_file_server.py

# PostgreSQL Server (Asynchronous)
python database/postgresql/async_postgresql_server.py

💻 Usage Examples

As a User

1. Install the package:

   uv pip install mcp-server-suite
   

2. Import and use any server:

   from mcp_server_suite.web_search import web_search_server
   from mcp_server_suite.database import async_postgresql_server
   

📚 Planned MCP Servers

For AI/ML Engineers

• Dataset Explorer MCP: Browse and filter datasets from HuggingFace, Kaggle, etc.
• Model Evaluation MCP: Compare the performance of different models on tasks or datasets.
• Experiment Tracker MCP: Visualize experiment logs and metrics from MLflow/W&B.
• MCP Education Platform: Provide online tutorials and documentation to help users better understand and use MCP technology.

For Developers

• Authentication Server MCP: Implement a token-based authentication mechanism supporting OAuth2 and OpenID Connect.
• Payment Processor MCP: Integrate multiple payment gateways (e.g., PayPal, Stripe) for secure transaction processing.
• Notification Server MCP: Send email and SMS notifications via SMTP or third-party services (e.g., Twilio).

🤝 Contribution

Join us in shaping the future of the automation field! Contributions are welcome:

1. Fork the repository.
2. Create your feature branch.
3. Add your server or improvements.
4. Submit a pull request.

For more details, please refer to our Contributing Guidelines.

🛠️ Support

• Documentation
• Discord Community
• GitHub Issues

📄 License

This project is licensed under the MIT License. For more details, please see the LICENSE file.