AI Dev Toolkit - MCP Server

by ReadyPlayerSix

164 downloads

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GitHub

Developer Tools

About

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

Details

Author: ReadyPlayerSix
Downloads: 164
Categories: Developer Tools

- 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.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name AI Dev Toolkit - MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

AI Dev Toolkit - MCP Server

⚠️ DEVELOPMENT STATUS: PRE-ALPHA ⚠️

This project is currently in early development and not ready for production use. Tools are being actively developed and may change significantly before the first release.

A comprehensive Model Context Protocol (MCP) server combining file system tools, AI Librarian, code comprehension, project scaffolding, and the Think Tool.

Overview

The AI Dev Toolkit enhances AI assistants like Claude with powerful capabilities:

1. File System Tools: Read, write, and navigate the file system
2. AI Librarian: Persistent code comprehension system that maintains project context
3. Project Starter: Project generation and scaffolding
4. Think Tool: Structured reasoning for complex problems
5. Context Compression: Store and retrieve conversation history (Coming Soon)

Quick Start

Prerequisites

- Python 3.8 or higher
- Claude Desktop (or other MCP-compatible AI assistant)
- Administrator privileges (for Claude Desktop integration on Windows)

Installation

```bash

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

AI Dev Toolkit - MCP Server

⚠️ DEVELOPMENT STATUS: PRE-ALPHA ⚠️

Overview

Quick Start

Prerequisites

Installation

Install

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