MCP.so
Sign In

AI Dev Toolkit - MCP Server

@ReadyPlayerSix

Repository

About AI Dev Toolkit - MCP Server

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

Config

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

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

Tools

No tools detected

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.

FAQ from AI Dev Toolkit - MCP Server

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.

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

Basic information

Category

Developer Tools

License

MIT license

Transports

stdio

Author

ReadyPlayerSix

More Developer Tools MCP servers

AptiBuild AI — Career Intelligence

ParklandBuilds

AptiBuild AI — Career Intelligence MCP Server Structured career decision scaffolding for AI agents. Provides personality-conditioned business idea generation, official BLS OEWS wage data, FRED labor market signals, and

PuzzleTide Puzzle Generator

Caravaca-Labs

Word search generator, crossword generator, and sudoku generator + solver as a local-first MCP server. 15 deterministic tools: printable PDF puzzle worksheets, themed word banks, and verifiable LLM evals. From the makers

Perfex CRM

themesic

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

1

Meticulous

Meticulous

MCP server and skills to connect to the Meticulous UI testing platform.

Skilder.ai

skilder.ai

Run skills and MCP tools like production software: versioned, composed into roles, distributed to every agent from one governed library.