MCP Lab

🚀 MCP Lab

MCP Lab is an innovative development environment based on the Model Context Protocol. It aims to enhance the efficiency and intelligence of application development by deeply integrating AI models with external data sources, services, and tools through standardized interfaces.

🚀 Quick Start

Environment Configuration

1. Install Node.js (Recommended version 18.x).
2. Install Yarn or npm.
3. Clone the repository:

   git clone [Repository URL]
   cd mcp-lab-text2sql
   

4. Install dependencies:

   npm install
   

5. Start the service:

   npm run dev
   

Getting Started

import { MCPClient } from '@modelcontextprotocol/sdk';

const client = new MCPClient('http://localhost:3000');

async function getUser(id: string) {
  try {
    const response = await client.sendRequest({
      tool: 'getUser',
      args: { id }
    });
    console.log(response.data);
  } catch (error) {
    console.error('Error:', error.message);
  }
}

getUser('123');

✨ Features

Protocol Compatibility

• Supports OpenAI's Function Calling API.
• Compatible with anthropic's Claude model.

Core Tools

- Data query and conversion (Text-to-SQL)
- User authentication and authorization
- Data persistence and caching

Development Environment Support

• Provides a VS Code plugin.
• Integrates PostgreSQL and Redis adapters.

📦 Installation

The installation steps are included in the "Quick Start" section above.

💻 Usage Examples

1. MCP Server Implementation

Functional Features

• Supports RESTful API interactions.
• Has a built - in GraphQL endpoint.
• Provides detailed logging and monitoring.

Core Interfaces

interface User {
  id: string;
  name: string;
  email: string;
}

interface QueryResult {
  data: any[];
  error?: string;
}

2. Text - to - SQL Tool

Functional Highlights

• Supports multiple database dialects (MySQL, PostgreSQL, SQLite).
• Provides intelligent code completion.
• Visualizes query results.

📚 Documentation

Project Structure

MCP Lab Components

The MCP Lab consists of two core components:

1. mcp-server-dummies: An example server implementation that supports REST API and GraphQL interfaces.
2. mcp-lab-text2sql: An experimental tool focused on natural language processing for converting text to SQL queries.

Code Repository and Documentation

• Code Repository: GitHub Link
• Project Documentation: Official Documentation

Documentation Resources

Official Documentation

• MCP Protocol Specification
• Development Guide

Community Support

• GitHub Issues: Issue Feedback
• Forum: Community Discussion

🔧 Technical Details

The MCP Lab is committed to seamless integration with mainstream AI frameworks and toolchains:

• OpenAI: Supports the Function Calling interface of GPT series models.
• Claude: Compatible with anthropic's Claude model.
• Llama: Provides a local deployment solution.

📄 License

No license information is provided in the original document.

⚠️ Important Note

This project is in the early development stage. Interfaces and features may change. Please refer to the latest documentation.

Next Steps

1. Clone the code repository.
2. Install dependencies.
3. Run the example applications.
4. Contribute to the project.