MCP Phpstan Server
M

MCP Phpstan Server

An MCP server implemented in pure PHP, providing the PHPStan code analysis tool, which can be integrated into any project without dependencies
2 points
7.1K

What is the PHPStan MCP Server?

The PHPStan MCP Server is a tool specifically designed for PHP code quality analysis. It integrates with AI assistants (such as Claude) via the standardized MCP protocol, allowing you to easily check for errors, type issues, and potential defects in your PHP code without installing a complex development environment.

How to use the PHPStan MCP Server?

Simply configure the server path in an MCP - supported AI assistant (such as Claude Desktop), and then analyze your PHP code through simple conversation instructions. The server will automatically detect the project configuration and run professional code checks.

Applicable Scenarios

Suitable for PHP developers, project maintainers, and code reviewers. Particularly applicable to scenarios such as new project code quality checking, refactoring of existing codebases, unifying team code specifications, and local verification before continuous integration.

Main Features

Basic Code Analysis
Provides detailed PHP code error reports, including type errors, undefined variables, method call issues, etc.
Professional - level Analysis
Supports the enhanced analysis functions of PHPStan Pro (if available), providing deeper code insights
Automatic Configuration Detection
Automatically searches for and identifies the PHPStan configuration file in the project without manually specifying the configuration path
Flexible Path Analysis
Supports analyzing PHP code in specific files, directories, or the entire project
Advantages
Zero - dependency design - No need to install Composer dependencies, ready to use out of the box
Simple configuration - Can use environment variables or configuration files, suitable for different deployment environments
Intelligent detection - Automatically searches upward for the PHPStan configuration file, reducing manual configuration
Professional output - Provides highly readable reports and professional JSON - formatted output
Limitations
Only supports PHP code analysis and is not suitable for other programming languages
Requires the PHPStan tool to be installed in the system
PHPStan Pro functions require the corresponding license
Analyzing large projects may take a long time

How to Use

Prepare the Executable Script
Ensure that the MCP server script has execution permissions
Configure the MCP Client
Add server settings to the configuration file of your MCP client (such as Claude Desktop)
Set Environment Variables (Optional)
Configure the PHPStan path, configuration file, and check level as needed
Start Using
Request to analyze specific PHP files or directories in an AI conversation

Usage Examples

New Feature Code Check
After developing a new feature, quickly check the quality issues of the newly added code
Overall Project Quality Assessment
Regularly check the code health of the entire project
Specific Problem Troubleshooting
When encountering difficult - to - debug PHP problems, use a professional analysis tool

Frequently Asked Questions

Do I need to install PHPStan first?
How to set the check level?
What is the difference between phpstan_analyze and phpstan_pro?
How does the server find the PHPStan configuration file?
What should I do if an error occurs during the analysis process?

Related Resources

PHPStan Official Documentation
A complete usage guide and configuration instructions for the PHPStan tool
Model Context Protocol Specification
The official technical specification and implementation guide for the MCP protocol
Claude Desktop Configuration Guide
The configuration method for the MCP server in Claude Desktop

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "phpstan": {
      "command": "/absolute/path/to/mcp/phpstan-server/bin/mcp-phpstan",
      "env": {
        "MCP_PHPSTAN_PATH": "/usr/local/bin/phpstan",
        "MCP_PHPSTAN_CONFIG": "/path/to/your/phpstan.neon",
        "MCP_PHPSTAN_LEVEL": "max"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
5.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
7.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.1K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
7.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
5.9K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
4.4K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
6.4K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.5K
4 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
17.6K
4.5 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
20.2K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
57.9K
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
28.7K
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
54.7K
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#
25.2K
5 points
C
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
80.0K
4.7 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
38.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase