cubeparser-mcp 0.1.0

MCP Server for CubeParser document extraction API

CubeParser MCP Server

A Model Context Protocol (MCP) server that provides access to CubeParser document extraction API. This server can be run directly using uvx with absolute paths for easy deployment and sharing.

🚀 Quick Start with uvx

For End Users (Running the Server)

If someone has shared this project with you, you can run it directly using uvx with the absolute path:

# Replace with the actual absolute path provided to you
uvx --from "C:\path\to\cubeparser_mcp" cubeparser-mcp

Example:

uvx --from "C:\Users\Remy\sensedeal\code\projects\work\CITICS2025\zhangkai\cubeparser_mcp" cubeparser-mcp

For Developers (Setting Up for Sharing)

1. Clone and Setup:

git clone <repository-url>
cd cubeparser_mcp
uv sync

2. Run Setup Script:

uv run python setup_uvx.py

This creates:

• mcp_config.json - MCP client configuration with absolute paths
• .env.template - Environment variables template
• run_cubeparser_mcp.bat - Quick run script for Windows

3. Configure Environment:

cp .env.template .env
# Edit .env with your CubeParser credentials

📋 Features

This MCP server provides three main tools:

1. get_templates - Retrieve available extraction templates from CubeParser
2. create_task - Upload files and create extraction tasks with specified templates
3. download_results - Get extraction results from completed tasks

🛠️ Installation Methods

Method 1: Direct uvx Usage (Recommended for Sharing)

# Run from absolute path (replace with actual path)
uvx --from "/absolute/path/to/cubeparser_mcp" cubeparser-mcp

# Or on Windows
uvx --from "C:\absolute\path\to\cubeparser_mcp" cubeparser-mcp

Method 2: Local Development

# Install dependencies
uv sync

# Run directly
uv run python main.py

# Or use the generated batch file
.\run_cubeparser_mcp.bat  # Windows
./run_cubeparser_mcp.sh   # Linux/Mac

⚙️ Configuration

Environment Variables

Create a .env file with your CubeParser credentials:

CUBEPARSER_USERNAME=your_username_here
CUBEPARSER_PASSWORD=your_password_here
CUBEPARSER_BASEURL=https://cubeparser.cn/

MCP Client Configuration

Use the generated mcp_config.json file in your MCP client (e.g., Claude Desktop):

{
  "mcpServers": {
    "cubeparser": {
      "command": "uvx",
      "args": [
        "--from",
        "C:\\absolute\\path\\to\\cubeparser_mcp",
        "cubeparser-mcp"
      ],
      "env": {
        "CUBEPARSER_USERNAME": "your_username",
        "CUBEPARSER_PASSWORD": "your_password",
        "CUBEPARSER_BASEURL": "https://cubeparser.cn/"
      }
    }
  }
}

🔧 Available Tools

get_templates()

Retrieves a list of available extraction templates from CubeParser.

Returns: List of template objects with IDs, names, and descriptions.

create_task(file_path: str, template_id: str)

Creates an extraction task by uploading a file and specifying a template.

Parameters:

• file_path: Absolute path to the file to be processed
• template_id: ID of the template to use for extraction

Returns: Task information including task ID and status.

download_results(task_id: str)

Downloads extraction results for a completed task.

Parameters:

• task_id: ID of the extraction task

Returns: Extraction results and task status information.

🧪 Testing

Test the Installation

# Test that the server starts correctly
uvx --from "C:\your\absolute\path\to\cubeparser_mcp" cubeparser-mcp

# Or use the batch file
.\run_cubeparser_mcp.bat

Run Tests

uv run pytest

📁 Generated Files

After running setup_uvx.py, you'll have:

• mcp_config.json - Ready-to-use MCP client configuration
• .env.template - Template for environment variables
• run_cubeparser_mcp.bat - Windows batch script for easy testing
• run_cubeparser_mcp.sh - Linux/Mac shell script for easy testing

🚨 Troubleshooting

Common Issues

1. Server won't start: Check that environment variables are set correctly
2. uvx command not found: Install uv first: pip install uv
3. Permission errors: Ensure the absolute path is accessible
4. Network errors: Verify CubeParser API credentials and network access

Debug Mode

Run with verbose logging:

uvx --from "C:\your\path\to\cubeparser_mcp" cubeparser-mcp --verbose

📤 Sharing with Others

To share this MCP server with others:

1. Provide the absolute path to your project directory
2. Share the uvx command:

   uvx --from "C:\your\absolute\path\to\cubeparser_mcp" cubeparser-mcp
   

3. Include environment setup instructions (they need their own CubeParser credentials)

📄 License

MIT License - see LICENSE file for details.