hitoshura25-mcp-server-generator 0.0.1

Generate dual-mode MCP servers with best practices

MCP Server Generator

A meta-generator for creating dual-mode MCP servers with best practices

Overview

Generate complete, production-ready MCP (Model Context Protocol) servers that work in two modes:

• MCP Server Mode: For AI agents (Claude Desktop, etc.)
• CLI Mode: For developers

This tool is itself an MCP server, enabling AI agents to generate other MCP servers! It demonstrates the dual-mode architecture pattern it creates.

Why Use This?

• ⚡ Fast: Generate a complete MCP server in under 5 minutes
• 🏗️ Complete: Includes tests, documentation, packaging, and CI/CD
• ✅ Tested: Generated servers have 82% test coverage with comprehensive test suites
• 🎯 Best Practices: Follows validated patterns from production MCP servers
• 🔧 Dual-Mode: Works as both MCP server and CLI tool
• 📦 Ready to Publish: GitHub Actions workflows included for PyPI publishing

Features

• ✅ Dual-mode architecture (MCP + CLI)
• ✅ Package prefix support (avoid PyPI namespace conflicts with AUTO detection)
• ✅ Complete project scaffolding (tests, docs, packaging)
• ✅ GitHub Actions workflows (via pypi-workflow-generator)
• ✅ Comprehensive test suite (82% coverage with 27+ tests)
• ✅ Type hints and documentation
• ✅ Best practices enforcement
• ✅ Minimal dependencies

Installation

From PyPI

pip install mcp-server-generator

From Source

git clone https://github.com/hitoshura25/mcp-server-generator.git
cd mcp-server-generator
pip install -e .

Quick Start

Interactive Mode (Recommended)

The easiest way to get started:

hitoshura25-mcp-server-generator-cli --interactive

This will guide you through:

1. Project naming
2. Author information
3. Tool definitions
4. Configuration options

Command-Line Mode

For automation or when you have a tool definition file:

hitoshura25-mcp-server-generator-cli \
  --project-name my-mcp-tool \
  --description "Does something useful" \
  --author "Your Name" \
  --email "[e-mail]" \
  --tools-file tools.json

MCP Server Mode (For AI Agents)

Configure mcp-server-generator as an MCP server in Claude Desktop to let Claude generate MCP servers for you:

{
  "mcpServers": {
    "mcp-server-generator": {
      "command": "hitoshura25-mcp-server-generator"
    }
  }
}

For detailed MCP configuration, see MCP-USAGE.md

Package Prefix

To avoid namespace conflicts on PyPI, mcp-server-generator supports prefixing package names. This is highly recommended for unique package names.

Prefix Modes

AUTO (Recommended)

• Automatically detects your GitHub username from git config
• Priority: github.user → remote URL → user.name (sanitized)
• Example: my-tool → username-my-tool

Custom Prefix

• Use your own prefix (organization name, brand, etc.)
• Example: --prefix acme → acme-my-tool

NONE

• No prefix applied (only if you have a truly unique name)
• Example: unique-server-name → unique-server-name

Usage Examples

Interactive Mode:

hitoshura25-mcp-server-generator-cli --interactive
# You'll be prompted: "Prefix (default: AUTO): "
# - Press Enter for AUTO detection
# - Type "NONE" for no prefix
# - Type "acme" for custom prefix

Command-Line:

# AUTO mode (default)
hitoshura25-mcp-server-generator-cli --project-name calculator --prefix AUTO ...

# Custom prefix
hitoshura25-mcp-server-generator-cli --project-name calculator --prefix acme ...

# No prefix
hitoshura25-mcp-server-generator-cli --project-name unique-calculator --prefix NONE ...

MCP Server Mode:

{
  "project_name": "calculator",
  "prefix": "AUTO",
  ...
}

Generated Names

With prefix username and project my-tool:

• PyPI Package: username-my-tool (install with pip install username-my-tool)
• Python Import: username_my_tool (use in code as import username_my_tool)
• CLI Command: username-my-tool (run as username-my-tool --help)
• MCP Command: mcp-username-my-tool (use in config)

For detailed MCP configuration, see MCP-USAGE.md

What Gets Generated

A complete, production-ready MCP server project:

my-mcp-tool/
├── .gitignore
├── README.md
├── MCP-USAGE.md
├── LICENSE
├── setup.py
├── pyproject.toml
├── requirements.txt
├── MANIFEST.in
├── my_mcp_tool/
│   ├── __init__.py
│   ├── server.py          # MCP server implementation
│   ├── cli.py             # CLI interface
│   ├── generator.py       # Business logic (TODO stubs)
│   └── tests/
│       ├── __init__.py
│       ├── test_server.py  # MCP protocol tests
│       └── test_generator.py  # Core logic tests
└── .github/
    └── workflows/
        └── pypi-publish.yml  # PyPI publishing workflow

Generated Features

• ✅ Working MCP server with proper JSON-RPC over stdio
• ✅ CLI interface with argparse
• ✅ Complete test suite (MCP protocol + business logic)
• ✅ GitHub Actions workflow for PyPI publishing
• ✅ Comprehensive documentation (README, MCP-USAGE)
• ✅ Proper Python packaging (setup.py, pyproject.toml)
• ✅ TODO stubs for easy implementation

Tool Definition Format

Create a tools.json file to define your MCP server's tools:

{
  "tools": [
    {
      "name": "my_function",
      "description": "Does something useful",
      "parameters": [
        {
          "name": "input_text",
          "type": "string",
          "description": "Text to process",
          "required": true
        },
        {
          "name": "max_length",
          "type": "number",
          "description": "Maximum length",
          "required": false
        }
      ]
    }
  ]
}

Supported Types

• string / str
• number / int / integer / float
• boolean / bool
• array / list
• object / dict

For complete examples, see EXAMPLES.md

Documentation

• MCP-USAGE.md - Detailed MCP server configuration guide
• EXAMPLES.md - Example projects and use cases
• CONTRIBUTING.md - Development and contribution guidelines
• PHASE_4_TEST_PLAN.md - Test specifications and coverage

Testing

The project includes a comprehensive test suite with 82% coverage:

# Run all tests
pytest

# Run with coverage report
pytest --cov=mcp_server_generator --cov-report=term-missing

# Run specific test file
pytest mcp_server_generator/tests/test_server.py -v

Test Statistics:

• Total tests: 34 (exceeds target of 27+)
• Coverage: 82%
• All async MCP protocol tests passing
• Template validation tests passing

Requirements

• Python ≥3.8
• Jinja2 ≥3.0
• hitoshura25-pypi-workflow-generator ≥0.3.1

Development

See CONTRIBUTING.md for detailed development instructions.

Quick setup:

# Clone the repository
git clone https://github.com/hitoshura25/mcp-server-generator.git
cd mcp-server-generator

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Install in development mode
pip install -e .

# Run tests
pytest

Architecture

mcp-server-generator follows a dual-mode architecture pattern:

┌─────────────────────────────────────┐
│     mcp-server-generator            │
├─────────────────────────────────────┤
│                                     │
│  ┌──────────┐      ┌──────────┐   │
│  │ MCP Mode │      │ CLI Mode │   │
│  └────┬─────┘      └────┬─────┘   │
│       │                 │          │
│       └────────┬────────┘          │
│                │                   │
│         ┌──────▼───────┐          │
│         │  generator.py │          │
│         │  (Core Logic) │          │
│         └──────────────┘          │
│                                     │
└─────────────────────────────────────┘

Both modes use the same core generator logic, ensuring consistency.

License

Apache-2.0

Author

Vinayak Menon

Links

• PyPI: https://pypi.org/project/mcp-server-generator/
• GitHub: https://github.com/hitoshura25/mcp-server-generator
• Issues: https://github.com/hitoshura25/mcp-server-generator/issues
• Reference Implementation: pypi-workflow-generator

Acknowledgments

This project is based on patterns validated in pypi-workflow-generator, a production MCP server for generating GitHub Actions workflows.