P

Python Run MCP

An MCP protocol service implemented in Python that provides a standardized API to execute Python code
2.5 points
24

What is the MCP Server?

The MCP Server is a tool based on the Model Context Protocol (MCP) that allows you to run Python code through standardized API endpoints. It provides developers with a secure and efficient remote code execution environment.

How to use the MCP Server?

Simply start the server and send an HTTP request to the specified endpoint to execute Python code. No complex configuration is required, and the operation is simple and convenient.

Applicable Scenarios

The MCP Server is suitable for developers, enterprise users who need to quickly deploy Python scripts, and any team that wants to leverage cloud services for code execution.

Main Features

Support for Multiple Programming LanguagesProvides support for mainstream programming languages such as Python and Java.
High SecurityAdopts advanced encryption technology and permission management mechanisms to ensure the security of data transmission.
Easy to IntegrateCompatible with multiple development frameworks, making it convenient for developers to quickly integrate into existing systems.

Advantages and Limitations

Advantages
Run code anytime, anywhere without installing a local environment
Powerful concurrent processing capability to meet large - scale task requirements
Flexible API design for easy secondary development
Limitations
May be affected by network latency, especially during remote calls
Some advanced features may require a paid subscription

How to Use

Install Dependencies
Ensure that Python and the pip tool are installed, and run `pip install -r requirements.txt` to install the required dependencies.
Start the Server
Run `python src/server.py` in the terminal to start the MCP Server.
Send a Request
Use curl or other tools to send a POST request to the `/run_python` endpoint.

Usage Examples

Run a Simple Hello World ProgramSend a simple Python script to the server to print 'Hello, World!'.
Execute Complex Data Analysis TasksUpload a Python script containing a large amount of data processing logic to generate statistical reports.

Frequently Asked Questions

Does the MCP Server support multi - language programming?
How to ensure the security of data transmission?
Is there a free version available?

Related Resources

Official Documentation
Comprehensively understand the functions and usage methods of the MCP Server
GitHub Code Repository
Get the source code and contribute to the open - source community
Technical Support Forum
Exchange experiences and technical issues with other users
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
827
4.3 points
G
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
85
4.3 points
M
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
1.7K
5 points
N
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
140
4.5 points
U
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#
563
5 points
F
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
6.7K
4.5 points
M
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
752
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase