AI Dev Toolkit - MCP Server

@ReadyPlayerSix

代码仓库

基本信息

分类

开发工具

许可证

MIT license

传输方式

stdio

作者

ReadyPlayerSix

关于 AI Dev Toolkit - MCP Server

A comprehensive MCP server combining file system access, AI Librarian, context compression, and project scaffolding tools

AI Dev Toolkit - 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": {
    "ai-dev-tookit": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

AI Dev Toolkit - 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 AI Dev Toolkit - MCP Server?

A pre‑alpha Model Context Protocol (MCP) server that combines file system tools, an AI Librarian for persistent code comprehension, project scaffolding, a structured Think Tool, and future context compression. It is designed to enhance AI assistants like Claude by giving them direct access to development workflows on the user’s local machine.

How to use AI Dev Toolkit - MCP Server?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, then start the server with python src/server.py. Connect Claude Desktop by either running connect_to_claude.bat (Windows, administrator) or by manually adding a server in Settings > MCP Servers with name “AI Dev Toolkit” and URL http://localhost:8000. Once connected, invoke tools in Claude by typing @AI Dev Toolkit.

Key features of AI Dev Toolkit - MCP Server

File System Tools: read, write, edit, navigate, and search files.
AI Librarian: persistent, auto‑updated code comprehension across sessions.
Project Starter: generate project plans, directory structures, and starter code.
Think Tool: a scratchpad for structured reasoning and problem solving.
Context Compression (coming soon): store conversation history for session continuity.

Use cases of AI Dev Toolkit - MCP Server

Maintain awareness of a codebase across multiple Claude conversations using the AI Librarian.
Scaffold new projects with boilerplate, directory structure, and starter files.
Reason through complex development problems step‑by‑step with the Think Tool.
Perform everyday file operations (read, write, search, edit) entirely through Claude.
Plan and set up GitHub repositories with automated instructions.

常见问题

Is this server ready for production use?

No. The project is in pre‑alpha development and is **not ready for production**. Tools are actively being developed and may change significantly.

What are the runtime requirements?

Python 3.8 or higher, an MCP‑compatible AI assistant (e.g., Claude Desktop), and administrator privileges on Windows if using the automatic connection script.

How do I connect the server to Claude Desktop?

On Windows, run `connect_to_claude.bat` as administrator. Alternatively, manually add a server in Claude Desktop (Settings > MCP Servers > Add Server) with the name “AI Dev Toolkit” and the URL `http://localhost:8000`.

Where does the server store its data?

The AI Librarian and future Context Compression tools store data locally in files within the project directory, including the `.ai_reference` folder. No external databases are used.

How do I start the server?

From the repository root, run `python src/server.py`. Ensure all dependencies are installed and that port 8000 is not already in use.

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