MCP Code Executor

Features

• Execute Python code from LLM prompts
• Run code within a specified Conda environment
• Configurable code storage directory

Prerequisites

• Node.js installed
• Conda installed
• Desired Conda environment created

Setup

1. Clone this repository:

git clone https://github.com/bazinga012/mcp_code_executor.git

1. Navigate to the project directory:

cd mcp_code_executor

1. Install the Node.js dependencies:

npm install

1. Build the project:

npm run build

Configuration

{
  "mcpServers": {
    "mcp-code-executor": {
      "command": "node",
      "args": [
        "/path/to/mcp_code_executor/build/index.js" 
      ],
      "env": {
        "CODE_STORAGE_DIR": "/path/to/code/storage",
        "CONDA_ENV_NAME": "your-conda-env"
      }
    }
  }
}

• /path/to/mcp_code_executor

  with the absolute path to where you cloned this repository

• /path/to/code/storage

  with the directory where you want the generated code to be stored

• your-conda-env

  with the name of the Conda environment you want the code to run in

Usage

CODE_STORAGE_DIR

CONDA_ENV_NAME

Contributing

License