AI Dev Toolkit - MCP Server

@ReadyPlayerSix

Basic information

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

AI Dev Toolkit - MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

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