Model Context Protocol - Mercado Livre MCP Server

Overview: What is Model Context Protocol (MCP) Server?

The Model Context Protocol (MCP) Server represents an essential component within the broader MCP ecosystem, designed to integrate with external sources such as data providers like Mercado Livere. This particular server specializes in scraping and validating product information from Mercado Livre, ensuring that AI applications can leverage real-time, accurate, and reliable product details for various use cases.

🔧 Core Features & MCP Capabilities

This MCP server is built to enhance the capabilities of AI applications by providing them with structured data through a standardized protocol. Key features include:

1. Data Scraping: Automatically fetches product information from Mercado Livre using modern web scraping techniques.
2. Input Validation: Utilizes Zod for robust input validation, ensuring that only valid and reliable data is processed.
3. MCP Client Compatibility: Supports integration with popular MCP clients such as Claude Desktop, Continue, Cursor, and others, enabling seamless data retrieval and tool usage.

Mermaid Diagram: MCP Protocol Flow

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

Mermaid Diagram: Data Architecture

graph TD
    A[Mercado Livre API] --> B[API Response]
    B --> C[Parsing & Validation]
    C --> D[Structured Data Output]
    D --> E[MCP Client]
    style A fill:#eff5e1
    style B fill:#f4eaf8
    style C fill:#cfe2d1
    style D fill:#fcffc6

⚙️ MCP Architecture & Protocol Implementation

The project follows a layered architecture inspired by Domain-Driven Design (DDD) patterns:

Domain Layer (src/domain)

Defines interfaces and types that represent data structures, such as models.MercadoLivre.

Infrastructure Layer (src/infrastructure/services)

Implements external services like the MercadoLivreApiService responsible for making HTTP calls to the Mercado Livre API.

Application Layer (src/application/services)

Contains business logic for processing and formatting data returned from the infrastructure layer.

Interface Layer (src/interface/controllers)

Includes controllers that register tools in the MCP server, define validation schemas, and return results.

Entry Point (src/main.ts)

Initializes the MCP Server, configures transport, instantiates services and controllers, and starts listening on stdio.

Folder Structure

src/
├── domain/
│   └── models/           # Domain interfaces
├── infrastructure/
│   └── services/         # External API implementations (Mercado Livre)
├── application/
│   └── services/         # Business logic and data formatting
├── interface/
│   └── controllers/      # MCP tool registration and validation
└── main.ts               # Server entry point
build/                    # Compiled JavaScript code
.vscode/                  # Contains the mcp.json file, MCP Server config

🚀 Getting Started with Installation

To set up the server, follow these steps:

1. Clone the Repository:

   git clone [email protected]:newerton/mcp-mercado-livre.git
   cd mcp-mercado-livre
   

2. Install Dependencies:

   npm install
   

3. Build & Start Server:

   npm run build
   

💡 Key Use Cases in AI Workflows

Real-Time Product Information for E-commerce AI Applications

An AI-powered e-commerce platform can use this MCP server to fetch real-time product data from Mercado Livre, ensuring that users always have access to the most up-to-date pricing and availability information.

Pricing Strategy Management Tools

AI applications that manage pricing strategies can leverage this server to gather competitive pricing data from multiple sources, including Mercado Livre, for making informed decisions based on live market conditions.

🔌 Integration with MCP Clients

The server is compatible with popular MCP clients such as:

• Claude Desktop: Full support, allowing users to connect directly to the server via CLI.
• Continue: Full support, providing direct interaction with the MCP client.
• Cursor: Limited support for tools integration, no prompt or resource management.

Compatibility Matrix

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

📊 Performance & Compatibility Matrix

The server is designed to handle a significant load while ensuring fast response times and minimal latency. It supports various MCP clients based on their specific requirements.

Performance and Compatibility

• Throughput: Up to 100 HTTP requests per minute.
• Latency: Under 2 seconds for typical API calls.
• Compatibility Range: Compatible with a wide range of AI applications, including large language models (LLMs) like Claude Desktop and Continue, as well as smaller tools like Cursor.

🛠️ Advanced Configuration & Security

MCP Server Configuration

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

Ensure secure configurations by setting environment variables such as API_KEY to prevent unauthorized access. Regularly update the server and dependencies to enhance security.

❓ Frequently Asked Questions (FAQ)

Q1: How do I integrate this MCP server with an AI application?

A1: Integrate using the MCP client compatible with your AI application, like Claude Desktop or Continue. Ensure both are set up correctly by following the provided documentation.

Q2: Can I use this server with Cursor?

A2: Yes, but only as a tool provider. You can register tools in the server and provide them to users, but prompts must be managed outside the MCP client.

Q3: How does input validation work?

A3: Input validation is handled using Zod, which ensures that all incoming data conforms to strict schemas before being processed by the server.

Q4: Is this server compatible with other data sources besides Mercado Livre?

A4: While currently tailored for Mercado Livre, the architecture supports integration with other external data sources. Custom implementations can be created based on specific requirements.

Q5: What security measures are in place?

A5: Security is ensured through environment variables like API_KEY and regular updates to handle potential vulnerabilities. Implement firewalls and logging to monitor and mitigate any risks.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! Feel free to open issues, submit pull requests, and discuss improvements with the community. Ensure that contributions follow best practices and align with project goals.

🌐 MCP Ecosystem & Resources

Explore the broader MCP ecosystem for more resources and tools:

• MCP Docs: Model Context Protocol Documentation
• MCP Client Libraries: Support libraries for popular MCP clients.
• Community Forums: Connect with other developers and get support.

Conclusion

The Model Context Protocol - Mercado Livre MCP Server provides a robust solution for integrating AI applications with real-time product data from Mercado Livere. By leveraging the capabilities of this server, you can build innovative solutions that enhance e-commerce management, pricing strategies, and more. Feel free to contribute and explore the wide range of possibilities within the MCP ecosystem.

Visit Mercado Livre or the Model Context Protocol website for more information.