Netmind Code Interpreter MCP Server

Netmind Code Interpreter

The Code Interpreter AI service, built and customized by the NetMind team, is a high-quality, robust, and cost-efficient solution for executing code in 14+ programming languages through a secure cloud environment. It is fully MCP server–ready, allowing seamless integration with AI agents.

Components

Tools

• execute_code: Execute code in the specified programming language with secure cloud execution.
  • language: required: Programming language identifier (string). Supported values: 'python', 'javascript', 'typescript', 'java', 'cpp', 'c', 'go', 'rust', 'php', 'ruby', 'swift', 'kotlin', 'scala', 'r'
  • files: required: List of code files to execute. Each file must have 'name' (filename with extension) and 'content' (complete source code as string)
  • stdin: optional: Standard input to provide to the program during execution (default: empty string)
  • args: optional: Command line arguments to pass to the program (default: empty list)
  • Returns execution results with stdout, stderr, and data outputs on success, or error description on failure.

Installation

Requires [UV](https://github.com/astral-sh/uv) (Fast Python package and project manager)

If uv isn't installed.

# Using Homebrew on macOS
brew install uv

or

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Environment Variables

You can obtain an API key from Netmind

• NETMIND_API_TOKEN: Your Netmind API key

Cursor & Claude Desktop && Windsurf Installation

Add this tool as a mcp server by editing the Cursor/Claude/Windsurf config file.

{
  "mcpServers": {
    "code-interpreter": {
      "env": {
        "NETMIND_API_TOKEN": "XXXXXXXXXXXXXXXXXXXX"
      },
      "command": "uvx",
      "args": [
        "netmind-code-interpreter-mcp"
      ]
    }
  }
}

Features

Core Features of the NetMind Code Interpreter API We provide a robust feature set that handles the complexity of code execution, so you can focus on building what matters.

• Unified Multi-Language Support: Execute code in the language you need, without configuration changes. Our environment provides native support for Python, JavaScript, Java, Go, C++, Rust, Ruby, PHP, and more, each running in an optimized and consistent runtime.
• Seamless File Management & I/O: Effortlessly integrate your data. Upload your scripts, CSVs, and other text-based files directly to the runtime. Your code can read, write, and process these files in a fully sandboxed filesystem for complete security and data integrity.
• Automatic Image & Artifact Generation: Turn data into visuals, automatically. Code that generates plots, charts, or diagrams will have the output automatically captured and delivered to you as a secure link. Get your PNGs, JPEGs, and other results without any extra steps.
• Enterprise-Grade Security and Performance: Execute any code with complete peace of mind. Every execution runs in a disposable, fully isolated container with reasonable resource limits on memory, CPU, and time. With rapid container startup and massive concurrency support, our platform is built for production-scale performance and security.

Supported Languages

• Python
• JavaScript/TypeScript
• Java
• C/C++
• Go
• Rust
• PHP
• Ruby
• Swift
• Kotlin
• Scala

Configuration

Set your Netmind API token as an environment variable:

export NETMIND_API_TOKEN="your-api-token-here"

Usage

Starting the Server

# using Python module
python -m netmind_code_interpreter.server

Testing the Server

Run the test client to verify everything is working:

python tests/test_client.py

MCP Client Integration

The server can be used with any MCP-compatible client. Here's how to configure it:

1. Start the server on your desired port (default: 8000)
2. Configure your MCP client to connect to http://localhost:8000/sse
3. Use the execute_code tool to run code

API Reference

execute_code Tool

Execute code in the specified programming language.

Parameters:

• language (str): Programming language identifier
• files (List[Dict]): List of code files to execute
  • name (str): Filename with appropriate extension
  • content (str): Complete source code as a string
• stdin (str, optional): Standard input content
• args (List[str], optional): Command line arguments

Returns:

• Success: {"run": {"stdout": "...", "stderr": "...", "data": [...]}}
• Error: {"error": "error description", "run": {"stdout": "", "stderr": "..."}}

Example:

result = await client.call_tool("execute_code", {
    "language": "python",
    "files": [
        {
            "name": "hello.py", 
            "content": "print('Hello, World!')"
        }
    ]
})

License

MIT License - se