MCP Code Checker
The MCP Code Checker Server provides code quality checking functions, including Pylint and Pytest checks, and supports AI assistants to analyze code issues and generate repair suggestions.
rating : 2.5 points
downloads : 16
What is the MCP Code Checker?
The MCP Code Checker is a secure and efficient tool for performing code quality checks. It allows AI assistants to identify and fix issues in the code through natural language descriptions, thereby improving development efficiency.How to use the MCP Code Checker?
Simply set the project directory and start the server to begin running Pylint and Pytest checks. The AI assistant will generate optimization suggestions based on the results.Applicable Scenarios
Suitable for software development teams that need to quickly locate code issues, improve code quality, and conduct automated testing.Main Features
Pylint Code Quality CheckDetect code style, potential errors, and performance issues, and generate intelligent optimization suggestions.
Pytest Unit TestingAutomatically run unit tests and report failed cases to help identify logical errors.
Comprehensive CheckPerform both Pylint and Pytest checks simultaneously to provide comprehensive code quality feedback.
Advantages and Limitations
Advantages
Improve code quality and maintainability
Support multiple custom parameters to meet specific needs
Ensure that all operations are performed within the specified project directory
Integrate an AI assistant for efficient collaboration
Limitations
Require the installation of a Python environment and related dependencies
May take a long processing time for complex projects
Some advanced features require manual configuration
How to Use
Install the MCP Code Checker
Clone the code repository, create a virtual environment, and then install the necessary dependencies.
Start the Server
Specify the project directory and run the server module.
Connect the AI Assistant
Add the server address and parameters to the Claude configuration file.
Usage Examples
Run Pylint CheckExecute a Pylint check to identify code style issues.
Run Pytest CheckRun unit tests to verify logical correctness.
Frequently Asked Questions
How to ensure that the server only accesses the specified project directory?
Does it support custom Pylint rules?
Related Resources
MCP Official Documentation
Understand the basic knowledge of the MCP protocol.
GitHub Code Repository
View the source code and the latest version.
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points

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
97
4.3 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
1.7K
5 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
150
4.5 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#
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.
TypeScript
6.7K
4.5 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
5.2K
4.7 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
761
4.8 points