MCP Server: Modern SDK Collection & Integration Platform

Overview: What is MCP Server?

MCP Server is an advanced Flask-based platform designed to streamline and consolidate multiple software development kits (SDKs) within a single server environment. Built with Model Context Protocol (MCP), it provides a unified interface for integrating various services and technologies, making it ideal for developers looking to build robust, scalable AI applications.

Key Features & MCP Capabilities

• Modular Blueprint Architecture: Easily integrate new SDKs using a structured, maintainable approach.
  • Supports modular building blocks that can be replaced or extended independently.
• Pre-configured SDK Integrations:
  • WalletConnect integration for blockchain wallet interactions
    • Supports secure, seamless communication between the MCP server and various blockchain wallets.
  • Authentication System with JWT token support
    • Provides a robust authentication mechanism using JSON Web Tokens (JWT) to ensure only authorized users can access protected resources.
  • File Attachment Handling with Secure Storage
    • Simplifies file upload and download functionality, ensuring files are stored securely within the server.

MCP Architecture & Protocol Implementation

The MCP protocol flow is defined by the following diagram:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

This protocol ensures seamless interoperability between AI applications and various data sources or tools.

Getting Started with Installation

To start using MCP Server:

Prerequisites

• Python 3.6+
• pip (Python Package Manager)

Installation Steps

1. Clone the repository:

   git clone https://github.com/olaxbt/mcp-server.git
   cd mcp-server
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Configure your environment by ensuring that config.ini has a JWT secret key configured.
4. Run the server:

   python run.py
   

5. Access the Swagger UI documentation:

   http://localhost:5000/apidocs/
   

Key Use Cases in AI Workflows

MCP Server can be used for a variety of applications, including:

• Blockchain Applications: Leverage the WalletConnect integration for developing decentralized applications.
• Multi-API Gateway: Create a unified interface to manage and route requests to multiple third-party services.
• Microservice Aggregator: Combine several microservices under a single API, providing a comprehensive solution for various tasks.

Integration with MCP Clients

The following table outlines compatibility between MCP clients such as Claude Desktop, Continue, Cursor, etc.:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

Performance & Compatibility Matrix

This section will detail the performance metrics and compatibility of MCP Server across different platforms and AI applications.

Advanced Configuration & Security

• JWT-based Authentication System: Ensures secure user authentication using JSON Web Tokens.
• Cross-Origin Resource Sharing (CORS): Built-in support for handling cross-domain requests securely.

MCP Protocol Sample Configuration

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

Frequently Asked Questions (FAQ)

1. Q: How does the MCP protocol flow work?
   • A: The protocol flows from an AI application to a MCP client, which then interacts with an MCP server before connecting to data sources or tools.
2. Q: Which AI applications are compatible with MCP Server?
   • A: Currently, Claude Desktop and Continue are fully supported; Cursor is only compatible for tool integration.
3. Q: How do I integrate MCP into my existing project?
   • A: Start by setting up the required SDK integrations using modular blueprints in your Flask application.
4. Q: What security measures does MCP Server have in place?
   • A: It uses JSON Web Tokens (JWT) for authentication and built-in CORS support to secure cross-domain requests.
5. Q: Can I customize the MCP protocol flow diagram?
   • A: Yes, you can modify the MCP protocol flow by adjusting the configurations and routes within your project.

Development & Contribution Guidelines

Contributions are welcome! If you'd like to contribute to this project:

1. Fork the repository.
2. Make changes or add features.
3. Create a Pull Request with clear documentation for your contribution.

MCP Ecosystem & Resources

For more information on the Model Context Protocol (MCP) and its ecosystem, refer to the official documentation at ModelContextProtocol.org.

With this comprehensive platform, developers can efficiently integrate various SDKs into a single server environment, making it easier to build robust AI applications that comply with MCP standards.