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Run Mode

scmcphub provides two distinct run modes to accommodate different user needs and preferences.

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Tool Mode

In tool mode, scmcphub provides a curated set of predefined functions that the LLM can select and execute. Advantages:
  • Stable: Predefined functions ensure consistent and reliable execution
  • Predictable: Known behavior and expected outputs
  • Safe: Controlled environment with validated operations
Disadvantages:
  • Limited flexibility: Restricted to available predefined functions， you should define new tools when you need customization functions

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Usage

Running in terminal 
scmcp run --run-mode tool
Below are some examples: Configure mcp 
{
  "mcpServers": {
    "scmcp": {
      "command": "/home/test/bin/scmcp",
      "args": [
         "run", "--run-mode", "tool"
      ]
    }
  }
}

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Code Mode

In code mode, scmcphub provides a Jupyter backend that allows the LLM to generate and execute custom code. Additionally, it can generate complete Jupyter notebooks containing executable code, analysis results, and visualizations. The mode is based on the project https://github.com/huang-sh/abcoder Advantages:
  • Highly flexible: Can create custom workflows and combine operations freely
  • Extensible: Supports any Python code and external libraries
  • Interactive: Real-time code execution and debugging capabilities
Disadvantages:
  • Less stable: Code generation is different for each time

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Usage

Running in terminal 
scmcp run --run-mode code
Configure mcp 
{
  "mcpServers": {
    "scmcp": {
      "command": "/home/test/bin/scmcp",
      "args": [
         "run", "--run-mode", "code"
      ]
    }
  }
}
Below are some examples: https://youtu.be/3jtXIeapslI