Neurodev MCP Server

@ravikant1918

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

ravikant1918

提交者

Ravi Kant Yadav

关于 Neurodev MCP Server

A powerful Model Context Protocol (MCP) server that supercharges your Python development workflow with AI-powered code review, intelligent test generation, and comprehensive test execution.

Neurodev MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "neurodev-mcp": {
      "command": "neurodev-mcp",
      "args": [
        "--transport",
        "stdio"
      ]
    }
  }
}

Neurodev MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Neurodev MCP?

Neurodev MCP is an MCP server that provides AI-powered Python code analysis, test generation, and test execution through static analysis tools such as pylint, flake8, mypy, bandit, radon, and AST inspections, plus auto-formatting with black and autopep8.

How to use Neurodev MCP?

Install via git clone, create a virtual environment, and run pip install -e .. Configure an MCP client (e.g., Claude Desktop or Cline) with the command to launch neurodev_mcp.server. The server supports STDIO (default) and SSE transports. Use natural language prompts like “Review this Python code for issues” to invoke its tools.

Key features of Neurodev MCP

Comprehensive code review with six static analyzers
Intelligent pytest test generation via AST analysis
Isolated test execution with coverage and timeout
Auto-formatting to PEP8 with black and autopep8

Use cases of Neurodev MCP

Review Python code for style, security, and complexity issues
Automatically generate unit tests for functions and classes
Run tests and get coverage reports in a development workflow
Format messy code to PEP8 standards quickly

常见问题

What Python version is required?

Python 3.8 or higher is required.

What dependencies does it need?

The server requires packages like pylint, flake8, mypy, bandit, radon, black, autopep8, pytest, pytest-cov, and pytest-timeout (all listed with version constraints in the README).

How do I configure it for Claude Desktop?

Edit `~/Library/Application Support/Claude/claude_desktop_config.json` with an absolute path to the virtual environment’s Python and the module arguments.

What transports are available?

The server supports STDIO (default, for local MCP clients) and SSE (Server-Sent Events, for web-based integrations on port 8000 by default).

Can I use it as a library?

Yes, you can import `CodeAnalyzer`, `TestGenerator`, and `TestExecutor` from `neurodev_mcp` in your own Python async code.

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