Checkstyle MCP
Checkstyle MCP Server is a middleware that connects large language models with local code quality tools, supporting code checking and formatting for languages such as Go, Java, and Lua, and providing project configuration management and AI self - correction functions.
rating : 2.5 points
downloads : 4.7K
What is Checkstyle MCP Server?
Checkstyle MCP Server is a middleware based on the Model Context Protocol (MCP), which enables AI assistants (such as Cursor and Claude Desktop) to directly call your local code checking tools. Simply put, it's like an AI's code quality assistant, allowing AI to automatically check and fix problems after writing code, achieving a complete closed - loop of 'write code - check - fix'.How to use Checkstyle MCP Server?
It's very easy to use: 1) Install the necessary code checking tools; 2) Configure the AI assistant to connect to this server; 3) Set up checking rules for the project; 4) The AI can then automatically call the checking function. You can manage all configurations through the Web interface or operate via the command line.Applicable scenarios
It is most suitable for development scenarios that require AI - assisted programming: 1) Ensure quality when using AI to write a large amount of code; 2) Teams want to unify code specifications; 3) Help students write standardized code in teaching environments; 4) Keep code tidy during rapid prototyping.Main features
Multi - language code checking and fixing
Supports three mainstream languages: Go, Java, and Lua, integrating industry - standard tools: Use golangci - lint for checking and gofmt for formatting in Go; use checkstyle for checking and google - java - format for formatting in Java; use luacheck for checking and stylua for formatting in Lua.
Project - level configuration isolation
Each project can have its own checking rule file without interference. It provides out - of - the - box default configuration templates and also supports uploading custom configuration files (such as checkstyle.xml,.golangci.yml, etc.).
Dual - mode access
It provides two connection methods: Stdio mode (suitable for direct integration with local IDEs such as Cursor) and Remote mode (HTTP/SSE, suitable for remote deployment or distributed calls).
Web management console
Manage all projects and configurations through a visual interface. Automatically detect and install missing system tools (supported on macOS/Homebrew). Record audit logs of all AI calls and view detailed error reports.
AI self - correction
It provides standardized Prompt templates to guide AI to establish an automated workflow of 'generate → check → fix'. AI can automatically detect problems and attempt to fix them, with a maximum of 3 attempts until the check passes.
Advantages
Seamless integration: Allows AI assistants to directly use professional code checking tools without manual intervention
Multi - language support: Covers three languages, Go, Java, and Lua, meeting the needs of different projects
Flexible configuration: Supports independent project - level configuration to adapt to different teams' coding specifications
Easy to use: Provides a Web management interface, making it easy for non - technical personnel to configure
High degree of automation: AI can automatically complete the check - fix cycle, improving development efficiency
Limitations
Depends on external tools: You need to install the corresponding language checking tools first (such as golangci - lint, checkstyle, etc.)
Limited language coverage: Currently only supports three languages and does not support popular languages such as Python and JavaScript
Learning cost: You need to understand the MCP protocol and basic configuration concepts
Performance overhead: Frequent code checking may affect the AI response speed
Rule complexity: Configuring complex checking rules may require professional knowledge
How to use
Environment preparation
Ensure that Go 1.21+ is installed on the system and install the necessary code checking tools. You can install them with one click through the Web interface (on macOS) or install them manually.
Compile the project
Download the source code and compile it to generate an executable file.
Select the running mode
Select the running mode according to the usage scenario: Stdio mode is for local IDE integration, and Remote mode is for remote access.
Configure project rules
Create a project through the Web management interface (http://localhost:8080) and upload or select a checking rule configuration file.
Configure the AI assistant
Send a System Prompt to the AI assistant to guide it to use the code checking tools.
Usage examples
AI writes Java code and automatically checks it
When AI generates Java code for you, it can automatically call checkstyle to check code specifications, detect problems such as non - standard naming and missing comments, and attempt to automatically fix them.
Batch format a Go project
AI can read the code of an entire Go project and use gofmt for unified formatting to ensure that all files have a consistent style.
Set custom rules for a Lua script
Set strict checking rules for a specific Lua project (such as prohibiting global variables and enforcing type annotations). AI will automatically comply with these rules when writing code.
Frequently Asked Questions
Do I need to install all language checking tools?
How to set different checking rules for different projects?
Will AI code checking affect the response speed?
Which AI assistants are supported?
How to add support for a new language?
What should I do if the checking tool reports an error?
Related resources
Model Context Protocol official documentation
Understand the basic concepts and working principles of the MCP protocol
GitHub project repository
Get the latest source code, submit issues, and participate in development
Checkstyle official documentation
Detailed configuration guide for the Java code checking tool
golangci - lint configuration guide
Configuration and use of the Go language code checking tool
Cursor IDE MCP integration guide
How to configure and use the MCP server in Cursor

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