mcp-server-code-execution-mode

🥈Silver

An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.

301240Updated 1w ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/elusznik/mcp-server-code-execution-mode.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/elusznik/mcp-server-code-execution-mode

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Activate MCP server code execution mode for [COMPANY] in the [INDUSTRY] sector. Use [DATA] to demonstrate how this mode can streamline operations. Provide a step-by-step guide for setting up and using this mode, including any necessary configurations and security considerations.

Example Output

## MCP Server Code Execution Mode Setup Guide

### Step 1: Initial Configuration
- **Container Isolation**: Ensure rootless containers are enabled for security.
- **Proxy Settings**: Configure MCP server proxying as needed.
- **Data Integration**: Load [DATA] into the system for processing.

### Step 2: Executing Python Code
```python
# Example Python code for data processing
import pandas as pd

# Load data
data = pd.read_csv('[DATA]')

# Process data
processed_data = data[data['column_name'] > threshold]
```

### Step 3: Monitoring and Security
- **Logs**: Regularly check container logs for errors.
- **Updates**: Keep the system updated with the latest security patches.
- **Access Control**: Restrict access to sensitive data.

### Step 4: Optimization
- **Performance Tuning**: Adjust container resources based on workload.
- **Scaling**: Implement auto-scaling for high-demand periods.
- **Backup**: Regularly back up processed data.