Python Sandbox
Python MCP Sandbox is an interactive code execution tool that can securely run Python code and manage packages in isolated Docker containers
rating : 2.5 points
downloads : 7.9K
What is Python MCP Sandbox?
Python MCP Sandbox is a secure code execution environment that allows users and AI models to run Python code and install third - party packages in isolated Docker containers. It provides complete isolation of the Python environment, ensuring that code execution does not affect the host system.How to use Python MCP Sandbox?
Through a simple API interface or SSE connection, you can create isolated environments, run code, install packages, and manage generated files. All operations are identified by the sandbox_id to distinguish different isolated environments.Applicable scenarios
Suitable for scenarios that require secure execution of untrusted code, such as AI code generation testing, teaching demonstrations, automated data processing, etc. It is particularly suitable for use with LLMs to execute generated code.Main features
Docker isolation
All code is executed in fully isolated Docker containers to ensure the security of the host system
Package management
Supports installing and managing Python third - party packages and automatically handles dependencies
File generation
Generated images, data files, etc. can be accessed via direct links
Terminal access
Supports executing terminal commands within the sandbox
File upload
Allows uploading local files to the sandbox environment for use
Advantages
Fully isolated execution environment to ensure system security
Flexible package management, supporting mainstream Python packages
Generated files can be directly accessed via URL
Supports seamless integration with AI models
Limitations
Requires Docker environment support
Execution resources are limited by the container
Network access may be restricted
How to use
Installation preparation
Ensure that Docker and Python 3.12+ are installed
Clone and start the service
Get the code repository and start the service
Connect to the MCP client
Configure the MCP client to connect to the SSE endpoint
Usage examples
Data analysis
Use pandas for data analysis and generate charts
Machine learning
Train a simple machine learning model
Frequently Asked Questions
How to view the created sandboxes?
Why is there no output when my code is executed?
How to access the generated files?
Related resources
Online demonstration
An online demonstration environment that can be directly experienced
GitHub repository
Project source code and documentation
MCP protocol
MCP protocol specification documentation

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.5K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.2K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.3K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.4K
4.7 points