A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

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.

o3 - search - mcp is an MCP server that supports using the OpenAI o3 model and its powerful web search function to help AI programming agents independently solve complex problems.

A TypeScript-based MCP server that uses OpenAI's DALL-E 3 model to generate images based on text prompts.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

The Kobold MCP Server is a server implementation based on the Model Context Protocol, used for integrating with KoboldAI, providing functions such as text generation, chat completion, and OpenAI - compatible API.

This project is a proof-of-concept (POC) that demonstrates how to implement the Model Context Protocol (MCP) through a custom host for testing agentic systems. Core features include OpenAI-compatible API, Google Gemini integration, streaming response support, and tool invocation capabilities.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

An MCP server for image generation and editing based on the OpenAI gpt-image-1 model, supporting the creation and modification of images through text prompts, providing convenient integration methods and rich configuration options.

An image generation and editing tool based on the OpenAI GPT-4o/gpt-image-1 model, supporting image generation through text prompts, image editing (such as repair, extension, composition, etc.), and being compatible with multiple MCP clients.

A service for directly querying OpenAI models in Claude through the MCP protocol

A sample project demonstrating how to use Microsoft Semantic Kernel with OpenAI and the Model Context Protocol C# SDK, including email sending functionality.

The Spring AI MCP client is a chat application based on Spring AI and Anthropic Claude/OpenAI models, which interacts with the server through the MCP protocol and supports AI-driven dialogue functions.

A model control protocol server that supports parallel queries from multiple LLM providers. It can simultaneously call the APIs of OpenAI, Anthropic, Perplexity, and Google for cross-verification, providing a unified interface and supporting asynchronous processing.

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.

The OpenAI WebSearch MCP Server provides web search functionality for AI assistants through the Model Context Protocol, supporting the acquisition of the latest information during conversations.

A minimal server/client application implementation based on the Model Context Protocol (MCP) and Azure OpenAI, including the FastMCP server, Playwright testing framework, and MCP-LLM Bridge conversion function.

An automatic commit message generation tool based on Git change analysis, leveraging OpenAI's GPT model to generate standardized commit information for code changes.

MCP LLM Bridge is a bridge tool to connect the Model Context Protocol (MCP) server with OpenAI-compatible LLMs (such as Ollama).

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.

MCP Client SSE is a Spring Boot - based Java application for synchronous interaction with the Model Context Protocol (MCP) server, supporting OpenAI API integration and tool callback configuration.

The Agentic MCP Client is an independent AI agent runner that interacts with models such as Claude, BedRock, and OpenAI through MCP protocol tools, supporting autonomous cloud operation and secure system interaction.

This project is a stdio server based on the Model Context Protocol (MCP), used to forward prompts to OpenAI's ChatGPT (GPT-4o), supporting advanced summarization, analysis, and reasoning functions, suitable for assistant integration in the LangGraph framework.

This project implements a document retrieval server based on the Model Context Protocol (MCP), which can dynamically obtain the latest official documentation content of Python libraries for AI assistants. It supports libraries such as LangChain, LlamaIndex, and OpenAI, conducts efficient searches through the SERPER API, and uses BeautifulSoup to parse HTML content. The project is designed to be extensible, facilitating the addition of support for more libraries.

Nano Agent is an experimental small engineering proxy MCP server that supports multi-provider LLM models, used to test and compare the proxy capabilities of cloud and local LLMs in terms of performance, speed, and cost. The project includes a multi-model evaluation system, a nested agent architecture, and a unified tool interface, supporting providers such as OpenAI, Anthropic, and Ollama.

MCPML is a Python framework for building servers compliant with the Model Context Protocol (MCP), supporting CLI tools and OpenAI agent functions, and providing features such as dynamic loading and structured output.

The MCP Chat Adapter is a server based on the MCP protocol that provides a standardized interface for LLMs to interact with the OpenAI-compatible API. It focuses on chat model scenarios and supports conversation management and persistent storage.

An MCP server based on Go language that uses OpenAI's DALL-E API to generate images from text descriptions and can be integrated with large language models such as Claude.

An MCP server integrated with LiteLLM for handling text completion of OpenAI models

An MCP server based on TypeScript that uses OPENAI's dall-e-3 model to generate images from text prompts and supports saving the generated images to a specified local directory.

A code review tool designed for Cursor IDE, which uses OpenAI's GPT model to provide intelligent code analysis and suggestions.

openai - tool2mcp is an open - source bridging tool that encapsulates OpenAI's built - in high - quality tools (such as web search and code interpreter) into an MCP protocol server, enabling MCP - compatible models like Claude to use these powerful functions.

OmniLLM is an MCP server that serves as a bridge between Claude and other large language models (such as ChatGPT, Azure OpenAI, and Google Gemini), providing a unified AI access interface.

MCP AI Hub is a server based on the Model Context Protocol, providing access to over 100 AI models (including those from OpenAI, Anthropic, Google, etc.) through the LiteLM unified interface, supporting multiple transmission protocols and flexible configuration.

An MCP server that enables Claude to seamlessly use OpenAI models

An MCP server project that provides a service for automatically selecting the OpenAI O3 or Google Gemini 2.5 Pro model based on the number of tokens, supports recursive embedding of file paths in prompts, and is suitable for code review and solving complex problems.

This project implements an MCP server that provides image generation and editing functions through OpenAI's gpt-image-1 model. It supports generating images based on text descriptions, editing or repairing images based on reference images, and saving the results locally.