Happy slice of mcp pizzaMCP.pizza

mcp_forge

MCP.Pizza Chef: mlzoo

mcp_forge is a professional development framework tailored for building enterprise-level MCP servers. It standardizes the MCP server creation process, enabling developers to quickly build high-quality AI tools by converting traditional FastAPI endpoints into AI-callable MCP tools. Featuring interface-implementation separation, dependency injection, and a complete development pipeline, it streamlines testing, deployment, and environment management for scalable MCP server solutions.

Use This MCP server To

Convert FastAPI endpoints into AI-callable MCP tools automatically Develop enterprise-grade MCP servers with standardized processes Separate interface definitions from implementations for easier testing Use dependency injection for flexible component composition Streamline MCP server testing and deployment workflows Build scalable AI tools with integrated FastAPI and MCP support

README

MCP Server Development Framework

中文文档

Overview

A professional framework designed for enterprise-level Model Context Protocol (MCP) tool development, standardizing the MCP server development process to help developers rapidly build high-quality AI tools. By integrating FastAPI with FastAPI-MCP, this framework enables seamless transformation from traditional APIs to AI-callable tools.

Key Features

  • MCP Tool Standardization: Automatically convert traditional FastAPI endpoints into AI model-callable MCP tools
  • Interface-Implementation Separation: Support clear separation between interface definitions and implementations, facilitating testing and environment switching
  • Dependency Injection Design: Leverage FastAPI's dependency injection mechanism for flexible component composition and decoupling
  • Complete Development Pipeline: Provide comprehensive toolchain support from development to testing and deployment
  • Example-Driven Documentation: Demonstrate best practices through practical examples to accelerate onboarding

This framework is particularly suitable for:

  • AI tool development teams
  • Developers looking to transform existing APIs into AI tools
  • Organizations implementing standardized microservice architectures

Architecture

Core Architecture

┌─────────────┐      ┌───────────────┐      ┌─────────────────┐
│   API Layer │ ──→  │ Service Layer │ ──→  │ Implementation  │
└─────────────┘      └───────────────┘      └─────────────────┘
       ↓
┌─────────────┐
│ MCP Endpoint│ ←── FastAPI-MCP Auto-Conversion
└─────────────┘

mcp_forge FAQ

How does mcp_forge simplify MCP server development?
It standardizes the process by converting FastAPI APIs into AI-callable MCP tools, speeding up development.
What programming framework does mcp_forge integrate with?
It integrates with FastAPI and FastAPI-MCP for seamless API to MCP tool transformation.
Can mcp_forge help with testing MCP tools?
Yes, it supports interface-implementation separation and dependency injection to facilitate testing and environment switching.
Does mcp_forge support deployment workflows?
Yes, it provides a complete development pipeline including testing and deployment support.
Is mcp_forge suitable for enterprise applications?
Yes, it is designed specifically for enterprise-level MCP server development with scalable architecture.
What benefits does dependency injection provide in mcp_forge?
It allows flexible component composition and decoupling, improving maintainability and testing.