iflow-mcp_agent0ai-code-execution-mcp

# Code Execution MCP Server A Model Context Protocol (MCP) server that exposes [Agent Zero's](https://github.com/agent0ai/agent-zero) battle-tested code execution capabilities. This MCP server allows any AI agent (Claude, Cursor, Windsurf, etc.) to execute terminal commands and Python code on the host system using Agent Zero's proven implementation. ## Features - **Execute Terminal Commands**: Run shell commands with full session persistence - **Execute Python Code**: Run Python code via IPython with session management - **Multiple Sessions**: Maintain separate execution contexts - **Smart Output Handling**: Automatic prompt detection, timeout management, and dialog detection - **Cross-Platform**: Works on Linux, macOS, and Windows (experimental) ## MCP Client Configuration (no installation needed) Add to your application MCP config: - simple case using uvx ```json { "mcpServers": { "code-execution": { "command": "uvx", "args": ["code-execution-mcp"] } } } ``` - or pipx if uvx is not installed ```json { "mcpServers": { "code-execution": { "command": "pipx", "args": ["run", "code-execution-mcp"] } } } ``` ## Additional configuration The MCP server can be configured via environment variables: ```bash # Shell executable (default: /bin/bash on Unix, powershell.exe on Windows) export CODE_EXEC_EXECUTABLE=/bin/bash # Init commands (semicolon-separated, run when creating new sessions, empty by default) export CODE_EXEC_INIT_COMMANDS="source /path/to/venv/bin/activate;export PATH=\$PATH:/custom/bin" # Timeout configuration (in seconds) export CODE_EXEC_FIRST_OUTPUT_TIMEOUT=30 # Wait for first output export CODE_EXEC_BETWEEN_OUTPUT_TIMEOUT=15 # Wait between output chunks export CODE_EXEC_DIALOG_TIMEOUT=5 # Detect dialog prompts export CODE_EXEC_MAX_EXEC_TIMEOUT=180 # Maximum execution time # Log directory (default empty = logging disabled) export CODE_EXEC_LOG_DIR=/path/to/logs ``` …