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Neurodev MCP Server

@ravikant1918

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

ravikant1918

投稿者

Ravi Kant Yadav

Neurodev MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Neurodev MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What Python version is required?

Python 3.8 or higher is required.

2

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).

3

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.

4

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).

5

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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