Averbeporto MCP

🚀 AverbePorto-MCP Server

AverbePorto-MCP is an MCP (Model Context Protocol) server designed to integrate with the AverbePorto platform. It simplifies the access process for authentication and document upload services and supports interaction through AI tools.

🚀 Quick Start

🌐 Access the Web System

1. Open https://www.averbeporto.com.br.
2. Log in using your credentials.
3. On the platform, you can:
   • Generate API credentials (in the user profile module).
   • Send XML documents.
   • Query ANTT protocols.
   • Monitor and manage the registration of cargo transportation insurance.

🤖 Use the MCP Server with AI Tools

💻 Usage Examples

Basic Usage

• Installation via Smithery

# Example code: How to run the installation command in the terminal
npm install @ghsix/averbeporto-mcp

Advanced Usage

• Configuration in Claude Desktop

// Configuration example: MCP server settings in the Claude Desktop environment
const config = {
    host: 'localhost',
    port: 3000,
    sessionId: 'your_session_id'
};

• Document Upload Using Cursor

// Example code: Use the upload method in Cursor
await mcp.upload({
    sessionId: 'your_session_id',
    filePath: '/path/to/document.xml',
    recipient: 'optional_recipient',
    version: 'optional_version'
});

• Integration in Roo Code

# Example code: MCP server call in the Roo Code environment
from averbeporto_mcp import MCPPackage

mcp = MCPPackage(host='localhost', port=3000)
response = mcp.retrieve_document(session_id='your_session_id', mod_doc='DI')
print(response)

• Set Credentials in Github Copilot

// Example code: Configure API credentials in Github Copilot
const credentials = {
    user: 'your_username',
    pass: 'your_password'
};
await mcp.login(credentials);

🔧 Technical Details

🔒 Security Tips

• Use the API credentials generated by the platform.
• Keep your credentials secure to prevent leakage.
• Do not share the sessionId.
• Always use a secure connection.
• Update the MCP server version in a timely manner.

Through the above steps, you can easily integrate AverbePorto-MCP into various AI tools to achieve efficient operations such as document management and protocol query.