The Stripe Agent Toolkit is a toolkit that supports the integration of multiple AI agent frameworks (such as OpenAI, LangChain, CrewAI, etc.) with the Stripe API. It provides support for Python and TypeScript, simplifying payment-related operations.

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.

An MCP server integrated with the OpenAI Sora 2 video generation API, providing video generation, remixing, status query, and automatic download functions

A TypeScript-based MCP server that can integrate Claude with any OpenAI SDK-compatible chat completion API, supporting multiple AI chat providers.

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.

An MCP server based on FastAPI that automatically fetches, summarizes, and pushes Reddit content to Slack. The system uses Azure OpenAI to generate summaries of posts from selected sub - reddits, organizes them into PDF reports, and shares them with the team.

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.

A voice call server based on the MCP protocol, integrating Twilio and OpenAI technologies to enable AI assistants to initiate and manage real-time voice calls.

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.

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.

An MCP server based on the OpenAI DALL-E API, providing image generation, editing, and variant functions, and supporting integration with Cline.

A high-quality text-to-speech tool and MCP service based on the OpenAI TTS API

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

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

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.

Azure OpenAI DALL-E 3 integration server that provides image generation and download functions through the MCP protocol

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.

The SuperMapMCP project is a client - server system for importing shapefile data into a database. It is based on SuperMap Object Java components and OpenAI technology, and needs to be run after configuring environment variables and database information.

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.

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.

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.

The Deepseek Thinker MCP Server is an MCP service that provides Deepseek inference content, supporting both the OpenAI API and the local Ollama mode, and can be integrated into AI clients.

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 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.

A simple agent program that uses the OpenAI Agents library to interact with the MCP server, supporting functions such as calculating the sum of numbers or telling jokes.

Configure the OpenAI API key for the MCP client module

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.

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 is an MCP server project for controlling HarmonyOS devices, supporting device operations through Claude Desktop or the openai-agents SDK.

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.

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 CoinGecko Server is a project that provides an MCP service for cryptocurrency data interaction and an OpenAI function call interface.

An audio-to-text MCP server based on the OpenAI API, providing audio transcription functionality and supporting multiple configuration options.

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

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.

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.