# Model Integration

A Python template project for quickly building a Model Context Protocol (MCP) server, which provides registration and exposure functions for tools and tips and supports multiple deployment methods.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

A server that directly queries OpenAI models via the MCP protocol, supporting the o3 - mini and gpt - 4o - mini models, providing concise and detailed answers.

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

MCPSharp is a .NET library for building servers and clients compliant with the MCP protocol. It supports quickly converting .NET methods into tool functions callable by AI models and provides integration with Microsoft.Extensions.AI and Semantic Kernel.

SiliconFlow Flux image generation server based on the MCP protocol

LetzAI MCP is an image generation tool based on Node.js that integrates the LetzAI API through the Claude desktop application to achieve AI image generation and processing.