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.

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

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 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.

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.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration for interacting with the TODO list agent. The project includes core components such as the MCP host, client, server, LLM provider, Postgres database, and toolset.

This project demonstrates how to integrate OpenAI, Azure OpenAI, and GitHub models through the MCP protocol to build a terminal application for a TODO list agent. The project includes three major components: MCP host, client, and server, supports HTTP and SSE protocols, and provides tool invocation and database storage functions.

An MCP integration server for Azure OpenAI DALL-E 3, providing image generation and download functions

A project for building and experimenting with an MCP server on AKS, including Azure OpenAI integration and local development tools

This is a generative AI course project for beginners, providing a complete learning path from environment setup to practical application. The project includes 6 concept courses and 6 programming courses, using the Azure OpenAI service for practical operations. Learners can quickly start through GitHub Codespaces or choose to install the Python environment locally. The project emphasizes the secure management of API keys and provides detailed setup guides. In addition, learners are encouraged to participate in open-source contributions, and an AI community communication platform is provided.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration to interact with the to - do item agent through the toolset provided by the MCP server.

The MCP Yahoo Finance Server is a tool based on the Yahoo Finance API for obtaining real-time stock data, company information, and historical price data. It integrates the Multi-Client Protocol (MCP) framework to provide seamless communication between clients and the server, and includes a web UI based on FastAPI and DaisyUI, supporting user interaction through an intuitive interface. The project also integrates Azure OpenAI for natural language query processing.

A Kusto query chat application based on Azure OpenAI, implementing client/server interaction through the MCP framework.