mcp-dev-toolkit 1.1.0

A comprehensive development toolkit for building Model Context Protocol (MCP) tools and servers

MCP Development Toolkit

A comprehensive development toolkit for building Model Context Protocol (MCP) tools and servers with built-in middleware, validation, schema extraction, and code generation.

🚀 Quick Start

Installation

# Basic installation
pip install mcp-dev-toolkit

# Full installation with all features
pip install mcp-dev-toolkit[full]

# Development installation
pip install mcp-dev-toolkit[dev]

Create Your First Tool

from mcp_dev_toolkit import create_sdk, ToolType

# Create SDK instance
sdk = create_sdk("my-awesome-tools", "1.0.0")

@sdk.tool(
    name="url_shortener",
    description="Shorten URLs using various services",
    tool_type=ToolType.INTEGRATION,
    tags=["url", "utility"],
    examples=[{
        "input": {"url": "https://example.com/very/long/url", "service": "bitly"},
        "output": {"short_url": "https://bit.ly/abc123"}
    }]
)
async def url_shortener(url: str, service: str = "bitly") -> dict:
    """Shorten a URL using the specified service"""
    # Your implementation here
    return {
        "original_url": url,
        "short_url": f"https://short.ly/{hash(url) % 1000000}",
        "service": service,
        "created_at": datetime.now().isoformat()
    }

# Generate MCP server
server_path = sdk.generate_mcp_server("./my_server")
print(f"Server generated at: {server_path}")

# Run the server
if __name__ == "__main__":
    app = sdk.create_mcp_app()
    asyncio.run(sdk.run_server(app))

📋 Features

🎯 Core Features

• Decorator-based tool registration - Simple @sdk.tool() decorator
• Automatic schema extraction - Generate JSON schemas from Python type hints
• Built-in middleware system - Validation, logging, performance monitoring
• Code generation - Generate complete MCP servers and OpenAPI specs
• Integration support - Built-in support for external API integrations
• Comprehensive error handling - Graceful error handling and validation

🔧 Middleware System

• ValidationMiddleware - Automatic input validation and type conversion
• LoggingMiddleware - Comprehensive logging of tool execution
• PerformanceMiddleware - Performance monitoring and timing
• CachingMiddleware - Simple in-memory caching
• RateLimitingMiddleware - Rate limiting protection
• SecurityMiddleware - Input sanitization and security checks

📊 Code Generation

• MCP Server Generation - Complete, runnable MCP servers
• OpenAPI Specification - Generate REST API specs from tools
• Client SDK Generation - Python client libraries
• Documentation Generation - Auto-generated documentation

🛠️ Usage Examples

Tool Types

from mcp_dev_toolkit import create_sdk, ToolType

sdk = create_sdk("example-tools")

# Simple utility tool
@sdk.tool(tool_type=ToolType.SIMPLE)
async def calculate_hash(text: str, algorithm: str = "md5") -> dict:
    import hashlib
    hash_obj = getattr(hashlib, algorithm)()
    hash_obj.update(text.encode())
    return {"hash": hash_obj.hexdigest(), "algorithm": algorithm}

# AI/Agentic tool
@sdk.tool(tool_type=ToolType.AGENTIC)
async def analyze_sentiment(text: str) -> dict:
    # Integration with AI services
    return {"sentiment": "positive", "confidence": 0.95}

# Workflow orchestration tool
@sdk.tool(tool_type=ToolType.WORKFLOW)
async def process_document(file_path: str, operations: list) -> dict:
    # Multi-step document processing
    return {"processed": True, "operations_completed": len(operations)}

# External integration tool
@sdk.tool(tool_type=ToolType.INTEGRATION)
async def fetch_weather(city: str, api_key: str) -> dict:
    # Weather API integration
    return {"city": city, "temperature": 22, "condition": "sunny"}

Custom Middleware

from mcp_dev_toolkit import Middleware

class CustomAuthMiddleware(Middleware):
    def __init__(self, required_token: str):
        super().__init__(priority=1)  # High priority
        self.required_token = required_token
    
    async def process_pre(self, tool_schema, args, kwargs):
        token = kwargs.get('auth_token')
        if token != self.required_token:
            raise ValueError("Invalid authentication token")
        # Remove token from kwargs before tool execution
        kwargs.pop('auth_token', None)
        return None

# Add to SDK
sdk.add_middleware(CustomAuthMiddleware("secret-token"))

Advanced Schema Definition

from typing import Literal, List
from enum import Enum

class Priority(Enum):
    LOW = "low"
    MEDIUM = "medium"
    HIGH = "high"

@sdk.tool()
async def create_task(
    title: str,
    description: str = "",
    priority: Priority = Priority.MEDIUM,
    tags: List[str] = None,
    due_date: str = None,
    assignee: str = None
) -> dict:
    """Create a new task with specified parameters"""
    return {
        "task_id": f"task_{hash(title) % 10000}",
        "title": title,
        "description": description,
        "priority": priority.value,
        "tags": tags or [],
        "due_date": due_date,
        "assignee": assignee,
        "status": "created"
    }

🖥️ Command Line Interface

The toolkit includes a powerful CLI for project management:

# Create new project
mcp-toolkit create my-project --type server --output ./projects

# Generate code from existing tools
mcp-toolkit generate my_tools.py --server --openapi --client

# Validate tools
mcp-toolkit validate my_tools.py

# Run server
mcp-toolkit run my_server.py --debug

CLI Commands

• create - Create new MCP projects with templates
• generate - Generate servers, APIs, and clients from existing tools
• validate - Validate tool definitions and schemas
• run - Run MCP servers with debugging support

📁 Project Structure

When you generate a project, you get a complete, production-ready structure:

my_project_server/
├── my_project_server.py    # Main server file
├── config.yml              # Configuration
├── requirements.txt        # Dependencies
├── README.md               # Documentation
└── tests/                  # Test files (when generated)
    ├── test_tools.py
    └── conftest.py

🔗 Integration Support

API Gateway Integration

# Set up gateway for external API calls
sdk.set_gateway(api_gateway_client)

@sdk.integration(service="weather_api", endpoint="/current")
async def get_weather(city: str, gateway=None) -> dict:
    """Get current weather using gateway"""
    response = await gateway.get(f"/weather?city={city}")
    return response.json()

Database Integration

@sdk.tool()
async def query_database(sql: str, gateway=None) -> dict:
    """Execute database query safely"""
    # Use gateway for database connections
    result = await gateway.execute_query(sql)
    return {"rows": result, "count": len(result)}

🧪 Testing

The toolkit includes comprehensive testing utilities:

import pytest
from mcp_dev_toolkit.testing import MCPTestClient

@pytest.mark.asyncio
async def test_url_shortener():
    client = MCPTestClient(sdk)
    
    result = await client.call_tool("url_shortener", {
        "url": "https://example.com",
        "service": "bitly"
    })
    
    assert result["service"] == "bitly"
    assert "short_url" in result

📊 Monitoring and Analytics

Built-in performance monitoring and analytics:

# Performance metrics are automatically collected
from mcp_dev_toolkit import PerformanceMiddleware

# Custom metrics middleware
class MetricsMiddleware(Middleware):
    async def process_post(self, tool_schema, result):
        # Send metrics to your monitoring system
        await send_metric(f"tool.{tool_schema.metadata.name}.success", 1)
        return None

sdk.add_middleware(MetricsMiddleware())

🔧 Configuration

Environment-based Configuration

import os
from mcp_dev_toolkit import create_sdk

sdk = create_sdk(
    name=os.getenv("MCP_SERVER_NAME", "default-server"),
    version=os.getenv("MCP_SERVER_VERSION", "1.0.0")
)

# Configure middleware based on environment
if os.getenv("ENVIRONMENT") == "production":
    sdk.add_middleware(SecurityMiddleware())
    sdk.add_middleware(RateLimitingMiddleware(max_calls=1000))

YAML Configuration

# config.yml
server:
  name: "my-mcp-server"
  version: "1.0.0"
  debug: false

middleware:
  - type: "validation"
    enabled: true
  - type: "logging" 
    enabled: true
    level: "INFO"
  - type: "performance"
    enabled: true

tools:
  rate_limit: 100
  timeout: 30

🚀 Deployment

Docker Deployment

FROM python:3.11-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .
EXPOSE 8000

CMD ["python", "my_server.py"]

Serverless Deployment

# For AWS Lambda, Azure Functions, etc.
from mcp_dev_toolkit import create_lambda_handler

handler = create_lambda_handler(sdk)

def lambda_handler(event, context):
    return handler(event, context)

📚 API Reference

Core Classes

• MCPDevelopmentSDK - Main SDK class
• ToolType - Enum for tool types
• ToolMetadata - Tool metadata container
• ToolSchema - Complete tool schema
• Middleware - Base middleware class

Decorators

• @sdk.tool() - Register MCP tools
• @sdk.integration() - Register API integrations

Utilities

• SchemaExtractor - Extract schemas from functions
• MCPServerGenerator - Generate complete servers
• OpenAPIGenerator - Generate API specifications

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

git clone https://github.com/yourusername/mcp-dev-toolkit.git
cd mcp-dev-toolkit
pip install -e ".[dev]"
pre-commit install

Running Tests

pytest tests/
pytest --cov=mcp_dev_toolkit tests/

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built on the Model Context Protocol (MCP) specification
• Inspired by modern API development frameworks
• Thanks to all contributors and the MCP community

---

Made with ❤️ for the MCP community

For more examples, documentation, and community support, visit our GitHub repository.