iflow-mcp_nibzard-daytona-mcp-interpreter

# Daytona MCP Interpreter A Model Context Protocol server that provides Python code execution capabilities in ephemeral Daytona sandboxes.  ## Overview Daytona MCP Interpreter enables AI assistants like Claude to execute Python code and shell commands in secure, isolated environments. It implements the Model Context Protocol (MCP) standard to provide tools for: - Python code execution in sandboxed environments - Shell command execution - File management (upload/download) - Git repository cloning - Web preview generation for running servers All execution happens in ephemeral Daytona workspaces that are automatically cleaned up after use. ## Installation 1. Install uv if you haven't already: ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` 2. Create and activate virtual environment. If you have an existing env, deactivate and remove it first: ```bash deactivate rm -rf .venv ``` Create and activate a new virtual environment: ```bash uv venv source .venv/bin/activate ``` (On Windows: `.venv\Scripts\activate`) 3. Install dependencies: ```bash uv add "mcp[cli]" pydantic python-dotenv "daytona-sdk>=0.10.5" ``` > Note: This project requires daytona-sdk version 0.10.5 or higher. Earlier versions have incompatible FileSystem API. ## Environment Variables Configure these environment variables for proper operation: - `MCP_DAYTONA_API_KEY`: Required API key for Daytona authentication - `MCP_DAYTONA_SERVER_URL`: Server URL (default: https://app.daytona.io/api) - `MCP_DAYTONA_TIMEOUT`: Request timeout in seconds (default: 180.0) - `MCP_DAYTONA_TARGET`: Target region (default: eu) - `MCP_VERIFY_SSL`: Enable SSL verification (default: false) ## Development Run the server directly: ```bash uv run src/daytona_mcp_interpreter/server.py ``` Or if uv is not in your path: ``` /Users/USER/.local/bin/uv run ~LOCATION/daytona-mcp-interpreter/src/daytona_mcp_interpreter/server.py ``` Use MCP Inspector to test t…