code-execution-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@code-execution-mcprun 'ls -la' and show output"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Code Execution MCP Server
A Model Context Protocol (MCP) server that exposes Agent Zero's 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)
Related MCP server: Terminally MCP
MCP Client Configuration (no installation needed)
Add to your application MCP config:
simple case using uvx
{
"mcpServers": {
"code-execution": {
"command": "uvx",
"args": ["code-execution-mcp"]
}
}
}or pipx if uvx is not installed
{
"mcpServers": {
"code-execution": {
"command": "pipx",
"args": ["run", "code-execution-mcp"]
}
}
}Additional configuration
The MCP server can be configured via environment variables:
# 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/logsAdditional examples
start sessions with custom shell and python environment + logging
{
"mcpServers": {
"code-execution-mcp": {
"command": "uvx",
"args": ["code-execution-mcp"],
"env": {
"CODE_EXEC_EXECUTABLE": "/bin/zsh",
"CODE_EXEC_INIT_COMMANDS": "source /Users/lazy/Projects/code-execution-mcp/.venv/bin/activate",
"CODE_EXEC_LOG_DIR": "/Users/lazy/Projects/code-execution-mcp/logs"
}
}
}
}override timeouts
{
"mcpServers": {
"code-execution-mcp": {
"command": "uvx",
"args": ["code-execution-mcp"],
"env": {
"CODE_EXEC_FIRST_OUTPUT_TIMEOUT": "60",
"CODE_EXEC_MAX_EXEC_TIMEOUT": "300"
}
}
}
}Manual installation
# Clone or download this package, then navigate to the directory
git clone https://github.com/agent0ai/code-execution-mcp.git
cd </path/to>/code-execution-mcp
# Install dependencies
pip install -e .and run with config:
{
"mcpServers": {
"code-execution-mcp": {
"command": "python",
"args": ["</path/to/code-execution-mcp>/main.py"]
}
}
}Available Tools
execute_terminal
Execute a terminal command in the specified session.
Parameters:
command(string, required): The shell command to executesession(integer, optional): Session (terminal window) number (default: 0)
Output:
(string) The accumulated terminal output from the session
execute_python
Execute Python code via IPython in the specified session.
Parameters:
code(string, required): The Python code to executesession(integer, optional): Session (terminal window) number (default: 0)
Output:
(string) The accumulated IPython output from the session
get_output
Get accumulated output from a terminal session.
Parameters:
session(integer, optional): Session (terminal window) number (default: 0)
Output:
(string) The accumulated terminal output from the session
reset_terminal
Reset a terminal session, closing and reopening it.
Parameters:
session(integer, optional): Session (terminal window) number (default: 0)reason(string, optional): Reason for the reset
Output:
(string) Text confirmation for the agent
Session Management
Sessions (terminal instances) allow maintaining separate execution contexts for multitasking, persistence or context isolation
Each session can be used and reset individually
Sessions persist until reset
Session 0 is default
Any session number can be used
Virtual Environment Considerations
Important: When the MCP server is launched from a virtual environment, shell sessions may NOT automatically inherit the venv activation.
Solution: Use init commands to explicitly activate your virtual environment:
{
"env": {
"CODE_EXEC_INIT_COMMANDS": "source /path/to/venv/bin/activate"
}
}Platform Support
Linux: Fully tested and supported
macOS: Fully tested and supported
Windows: Experimental support via pywinpty
Some features may behave differently
Architecture
This MCP server is a minimal wrapper around Agent Zero's code execution tool:
Preserves Agent Zero's battle-tested logic
No rewrites or reimplementations
Uses Agent Zero's helper modules unchanged:
tty_session.py- TTY session managementshell_local.py- Local shell interfaceprint_style.py- Output styling and loggingstrings.py- String manipulation utilities
Security
WARNING: This MCP server allows full code execution on the host system. Security is the responsibility of the MCP client.
Only use with trusted AI agents and in controlled environments.
License
MIT License
This project wraps and reuses code from Agent Zero (Copyright (c) 2025 Agent Zero, s.r.o), which is licensed under the MIT License.
See the LICENSE file for full license text and attribution details.
Credits
Built on Agent Zero's proven code execution implementation.
This MCP server preserves and reuses Agent Zero's battle-tested code:
Core execution logic from
code_execution_tool.pyHelper modules:
tty_session.py,shell_local.py,print_style.py,strings.pyAll system message prompts
All credit for the robust code execution implementation goes to the Agent Zero team.
Uses FastMCP for MCP protocol handling.
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