Daytona MCP Python Interpreter

# Daytona MCP Python Interpreter A Model Context Protocol server that provides Python code execution capabilities in ephemeral Daytona sandbox. [](https://youtu.be/26m2MjY8a5c) ## 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 by any case you have existing env, you should deactivate and remove the virtual environment: ```bash deactivate rm -rf .venv ``` Create and activate 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 ``` ## Development Run the server directly: ```bash uv run src/daytona_mcp_interpreter/server.py ``` Or if uv is not found (not in path): ``` /Users/USER/.local/bin/uv run ~LOCATION/daytona-mcp-interpreter/src/daytona_mcp_interpreter/server.py ``` NOTE. You can run `which uv` to get the path to uv. You can use MCP Inspector to test the server: ```bash npx @modelcontextprotocol/inspector \ uv \ --directory . \ run \ src/daytona_mcp_interpreter/server.py ``` Tail log: ``` tail -f /tmp/daytona-interpreter.log ``` ## JSON Config file 1. Configure in Claude Desktop, Windsurf, Cursor or other config file: Claude Desktop on MacOS config is here: `~/Library/Application Support/Claude/claude_desktop_config.json`. CONFIG: ```json { "mcpServers": { "daytona-interpreter": { "command": "/Users/USER/.local/bin/uv", "args": [ "--directory", "/Users/USER/dev/daytona-mcp-interpreter", "run", "src/daytona_mcp_interpreter/server.py" ], "env": { "PYTHONUNBUFFERED": "1", "MCP_DAYTONA_API_KEY": "api_key", "MCP_DAYTONA_API_URL": "api_server_url", "MCP_DAYTONA_TIMEOUT": "30.0", "MCP_VERIFY_SSL": "false", "PATH": "/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin" } } } } ``` On Windows edit `%APPDATA%\Claude\claude_desktop_config.json` and adjust path. 2. Restart Claude Desktop 3. The Python interpreter tool will be available in Claude Desktop ## Features - Executes Python code in isolated workspaces - Captures stdout, stderr, and exit codes - Automatic workspace cleanup - Secure execution environment - Logging for debugging <a href="https://glama.ai/mcp/servers/hj7jlxkxpk"><img width="380" height="200" src="https://glama.ai/mcp/servers/hj7jlxkxpk/badge" alt="Daytona Python Interpreter MCP server" /></a> [](https://smithery.ai/server/@nkkko/daytona-mcp)