MCP Server Code Checker Python

The MCP code checking server provides code quality detection functions, including pylint and pytest checks, and supports integration with AI assistants for code quality analysis.

Developer tools Artificial intelligence chatbots #Code checking #Quality analysis #AI collaboration .Python

rating : 2 points

downloads : 8

update time : 2025-04-28

What is the MCP Code Checker?

The MCP Code Checker is a secure and efficient tool designed to improve your code quality by running code quality checking tools such as pylint and pytest. It can help you quickly identify issues in your code and generate intelligent suggestions, thereby enhancing development efficiency.

How to use the MCP Code Checker?

Just follow these steps to start using it: Install the server, configure the project directory, start the server, and integrate it with the AI assistant.

Applicable scenarios

Suitable for developer teams that need to continuously improve code quality and automate testing.

Main features

Run pylint checkPerform a pylint check on the code in the specified project directory and generate intelligent suggestions.

Run pytest checkPerform a pytest check on the code in the specified project directory and generate intelligent suggestions.

Run all checksRun both pylint and pytest checks simultaneously and generate a comprehensive report.

Advantages and limitations

Advantages

Provide comprehensive code quality analysis

Support multiple custom parameters to meet different needs

Ensure the security and isolation of code execution

Limitations

Require a certain technical background for configuration and use

Some advanced features may require additional learning costs

How to use

Install the MCP Code Checker

Clone the code repository and install the dependencies.

Start the server

Start the MCP Code Checker server using the command.

Integrate with the AI assistant

Configure the AI assistant to connect to the MCP Code Checker.

Usage examples

Run pylint checkRun a pylint check and get the results.

Run pytest checkRun a pytest check and get the results.

Frequently Asked Questions

How to install the MCP Code Checker?

Can I customize pylint parameters?

Related resources

MCP Python SDK

The official Python SDK for MCP.

MCP Documentation

The quick start guide for MCP.

🚀 MCP Code Check Server Documentation

The MCP Code Check Server is a tool based on the Model Context Protocol (MCP) for performing code checks in projects. It supports running pylint and pytest checks and interacts with external systems (such as Claude Desktop) via the MCP protocol.

🚀 Quick Start

The MCP Code Check Server is a tool based on the Model Context Protocol (MCP) that enables code checking operations within projects. It supports running pylint and pytest checks and communicates with external systems (e.g., Claude Desktop) through the MCP protocol.

📦 Installation

Set up the development environment on Windows

REM Clone the repository
git clone https://github.com/yourusername/mcp-code-checker.git
cd mcp-code-checker

REM Create and activate a virtual environment
python -m venv .venv
.venv\Scripts\activate

REM Install dependencies
pip install -e .

REM Install development dependencies
pip install -e ".[dev]"

✨ Features

Perform a pylint check

Function: Run pylint in the project and generate results suitable for LLM interpretation.
Return: A string containing pylint results or prompting the LLM.
Benefit: Identify code quality, style issues, and potential errors.
Configuration: Support disabling specific pylint codes.

Perform a pytest check

Function: Run pytest in the project and generate results suitable for LLM interpretation.
Return: A string containing pytest results or prompting the LLM.
Benefit: Identify failed tests and provide detailed test failure information.
Configuration: Support test selection, environment, and verbosity parameters.

Perform all checks

Function: Run both pylint and pytest checks in the project and generate comprehensive results.
Return: A string containing all check results or prompting the LLM.
Benefit: Provide a comprehensive analysis of code quality.
Configuration: Support pylint and pytest parameters.

🔧 Technical Details

All checks are performed within the specified project directory.
Code execution is restricted to the project's Python test files.
The results are formatted for easy interpretation by both humans and LLMs.

📚 Documentation

Run using MCP Dev Tools

# Set PYTHONPATH and run the server module
set PYTHONPATH=. && mcp dev src/server.py

📄 License

This project is released under the MIT License. For detailed information, please refer to the LICENSE file.

The MIT License is a permissive license that allows reuse, copying, modification, and distribution, provided appropriate attribution is given.

🔗 Links

Featured MCP Services

Duckduckgo MCP Server

Certified

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

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.

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.

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.

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.

572

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.

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.

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

5.2K

4.7 points

Zhiqi Future, Your AI Solution Think Tank

English 简体中文繁體中文にほんご