# Code Execution

JupyterMCP is a tool that integrates Jupyter Notebook with Claude AI via the Model Context Protocol (MCP). It supports functions such as bidirectional communication, cell operations, and code execution, and is only compatible with Jupyter Notebook version 6.x.

CodeBox-AI is a secure Python code execution service that provides self-hosted code interpreter functionality, supports conversational code execution, dynamic package installation, and visual output, and integrates the MCP protocol for interaction with LLM applications.

The MCP Code Executor is a server that allows LLMs to execute Python code in a specified Conda environment.

CodeSavant is a code management server based on the MCP protocol, providing code reading, writing, execution, and version control functions, supporting multi - language development and historical backtracking.

The Daytona MCP interpreter is a server that implements the Model Context Protocol (MCP) standard, providing AI assistants with the ability to execute Python code and Shell commands in a secure isolated environment.

The Code Runner MCP Server is an MCP service that supports the execution of multi - language code snippets. It can directly run code and display results in applications such as VS Code.

A Docker - based MCP server that can execute multi - language code in isolated containers and return results, supporting dependency management and container management.

The PHP MCP protocol server is used to integrate PHP with Anthropic's Claude AI, supporting direct execution of PHP code and providing environment information.

The YepCode MCP Server is a server implementing the Model Context Protocol. It can transform YepCode processes into AI tools, supports remote and local deployment, and provides functions such as code execution, environment management, and process execution.

Nash MCP is a multi - functional command execution server that supports Shell command execution, Python code execution, web content fetching, and task management, providing secure credential storage and session management functions.

The MCP Python Interpreter is a service that allows LLMs to interact with a Python environment, providing functions such as code execution, file operations, and package management, and supporting multiple development workflows.

An MCP server that provides a Python interactive interpreter, supporting persistent sessions and package management

Riza provides a secure code interpreter service, offering an isolated execution environment for LLM-generated code through the MCP server.

The Dumpling AI MCP Server is a model context protocol server integrating multiple AI functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution.

The MCP service for Emacs, supporting the generation and execution of Elisp code

An MCP protocol service implemented in Python that provides a standardized API to execute Python code