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MCP Neurolora

@aindreyway

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

aindreyway

关于 MCP Neurolora

An intelligent MCP server that provides tools for collecting and documenting code from directories

#mcp-neurolora#code-analysis#documentation-generator

MCP Neurolora 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-neurolora": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "uvx"
      ]
    }
  }
}

MCP Neurolora 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 MCP Neurolora?

MCP Neurolora is an intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation. It is designed for developers using AI assistants like Cline or Claude Desktop.

How to use MCP Neurolora?

Install Node.js 18, uv, and uvx, then add the server configuration to your MCP settings file with an OpenAI API key. Use the install_base_servers tool to automatically set up base servers, then invoke tools like analyze_code, collect_code, or ask your assistant to analyze code, collect code, or generate documentation.

Key features of MCP Neurolora?

  • OpenAI API integration for code analysis
  • Structured feedback with best practices recommendations
  • GitHub issues generation from analysis results
  • Directory code collection with syntax highlighting
  • Pattern-based file filtering (like .gitignore)
  • Automatic base MCP server installation and configuration

Use cases of MCP Neurolora?

  • Analyze code files or directories for issues and improvement suggestions
  • Collect all code from a project into a single markdown file with navigation
  • Generate structured documentation from codebases
  • Install and manage base MCP servers (fetch, puppeteer, sequential-thinking, GitHub, Git, shell)

常见问题

1

What are the runtime requirements?

Node.js 18, uv, uvx, and an OpenAI API key set in the environment configuration.

2

What base servers does it install?

fetch, puppeteer, sequential-thinking, github, git, and shell (with commands: ls, cat, pwd, grep, wc, touch, find).

3

How do I configure the server?

Add a JSON block to your MCP settings file (e.g., `cline_mcp_settings.json` or `claude_desktop_config.json`) with the command `npx -y @aindreyway/mcp-neurolora@latest` and the environment variable `OPENAI_API_KEY`.

4

What transport does it use?

It runs via `npx` (stdio transport), executing the npm package directly.

5

What license is the server under?

MIT License.

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