Conda Executor MCP server

This MCP Code Executor server allows Large Language Models (LLMs) to execute Python code within a specified Conda environment. It creates a secure way for LLMs to run code with access to libraries and dependencies defined in your Conda environment.

Prerequisites

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

Installation

1. Clone the repository:

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

2. Navigate to the project directory:

cd mcp_code_executor

3. Install the Node.js dependencies:

npm install

4. Build the project:

npm run build

Configuration

To configure the MCP Code Executor server, add the following to your MCP servers configuration file:

{
  "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"
      }
    }
  }
}

Configuration Parameters

Make sure to replace these placeholders:

• /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

After configuration, the MCP Code Executor enables LLMs to execute Python code by:

1. Generating a Python file in the specified CODE_STORAGE_DIR
2. Running the file within the Conda environment defined by CONDA_ENV_NAME

LLMs can generate and execute code by referencing this MCP server in their prompts. This provides a controlled way for language models to interact with your system and execute code with the appropriate dependencies.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.