Development Tools MCP Server
D

Development Tools MCP Server

This is an MCP server for code analysis and web scraping. It supports code quality checking, dependency analysis, static/dynamic web scraping, and API discovery, providing development tools for AI assistants.
2.5 points
6.1K

What is the MCP Development Tools Server?

The MCP Development Tools Server is a server based on the Model Context Protocol (MCP), specifically designed to provide development-related tool support for AI assistants. It allows AI assistants to directly analyze code quality, check dependencies, scrape web content, discover API interfaces, etc., without users having to manually perform these tasks.

How to use the MCP Development Tools Server?

After installation and configuration, you can directly use natural language commands in supported AI assistants (such as Cursor, Claude Desktop) to perform various development tasks. For example, you can say 'Analyze the code quality of this project' or 'Scrape all links on this web page', and the AI assistant will automatically call the corresponding tools and return the results.

Applicable scenarios

Suitable for developers in scenarios such as writing code, reviewing projects, analyzing web page structures, and checking dependency security. Particularly suitable for development work that requires rapid code quality analysis, potential problem checking, web information acquisition, or API interface discovery.

Main features

Code quality analysis
Automatically analyze code complexity, maintainability, and code smells, and provide detailed code quality reports and improvement suggestions.
Code checking and formatting
Support ESLint, Prettier, and TypeScript checks to ensure that the code complies with specifications and automatically fix issues.
Dependency analysis
Analyze project dependencies, find unused packages, security vulnerabilities, and outdated dependencies.
Security analysis
Detect hard-coded keys and security vulnerabilities in the code, and analyze file permissions and compliance issues.
Web scraping
Support static and dynamic web scraping, and can extract content such as text, links, images, and tables. It supports pages rendered by JavaScript.
API discovery
Automatically discover API endpoints on web pages, analyze network requests, and extract API architecture information.
Advantages
One-stop solution: 42 tools cover most development needs.
AI assistant integration: Use natural language commands directly in the chat interface.
Automated analysis: Automatically perform complex code analysis and web scraping tasks.
Multiple output formats: Support multiple output formats such as JSON, Markdown, and CSV.
Cross-platform support: Compatible with multiple MCP clients such as Cursor and Claude Desktop.
Limitations
Requires a Node.js environment: Must run on a system that supports Node.js.
Complex configuration: The MCP client needs to be configured during the first installation.
Depends on external tools: Some functions require tools such as ESLint and Prettier.
Dynamic scraping requires a browser: Dynamic web scraping requires installing the Playwright browser.
Network dependency: The web scraping function requires a network connection.

How to use

Install dependencies
Ensure that Node.js 18 or a higher version is installed on the system, then clone the project and install the dependencies.
Install a browser (optional)
If you need the dynamic web scraping function, you need to install the Playwright browser.
Build the project
Compile TypeScript code into JavaScript.
Configure the MCP client
Configure the server path according to the MCP client you are using (Cursor, Claude Desktop, etc.).
Restart the client and start using
After restarting the MCP client, use natural language commands in the chat interface to call the tools.

Usage examples

Code quality review
Quickly understand the code quality status when starting a new project or taking over an existing project.
Dependency security check
Check the security of dependency packages before deploying a project.
Web information extraction
Quickly obtain web content for analysis or data collection.
API interface discovery
Analyze the API interface structure of a website or application.
Code specification check
Ensure that the team's code complies with a unified coding specification.

Frequently Asked Questions

Which MCP clients does the MCP Development Tools Server support?
Which pre - installed dependencies are required?
How to verify that the server is installed successfully?
What are the limitations of the web scraping function?
Which programming languages does the code analysis support?
How to update the server to the latest version?
Will the server collect or upload user data?
What should I do if I encounter a 'command not found' error?

Related resources

Model Context Protocol official documentation
Technical specifications and standard documentation for the MCP protocol.
GitHub repository
Project source code, issue feedback, and contribution guidelines.
Cursor IDE MCP documentation
How to configure and use the MCP server in Cursor.
Claude Desktop configuration guide
Configuration method for the MCP server in Claude Desktop.
Node.js official website
Download and install the Node.js runtime environment.
Playwright documentation
Browser automation framework used for dynamic web scraping.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "development-tools": {
      "command": "node",
      "args": [
        "C:\\Users\\YourUsername\\path\\to\\development-tools-mcp-Server\\dist\\index.js"
      ]
    }
  }
}

{
  "mcpServers": {
    "development-tools": {
      "command": "node",
      "args": [
        "/absolute/path/to/development-tools-mcp-Server/dist/index.js"
      ]
    }
  }
}

{
  "mcpServers": {
    "development-tools": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": {}
    }
  }
}

{
  "mcpServers": {
    "development-tools": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
8.6K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
7.1K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
12.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
11.9K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.6K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.0K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.8K
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
17.5K
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
18.4K
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
28.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
54.7K
4.3 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#
23.2K
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
51.1K
4.5 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
17.1K
4.5 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
75.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase