This project provides a complete guide for building an MCP server, which is used to deploy trained random forest models and integrate with the Bee framework to implement ReAct interaction functions.

A customized version of NextChat that creates and deploys MCP servers through chat interactions, integrates LLM models from OpenRouter, and provides functions such as tool extraction, one-click deployment, and AI system integration guides.

S/MCP is a server based on the MCP protocol that provides interaction with the philosophical AI mentor Stern. Stern combines rationalist thinking with Stoic philosophy and helps users reach their potential through smart contracts and personalized guidance.

An MCP server for SAP GUI automation, providing tools for programmatic control of SAP transactions, including starting transactions, interface interaction, and screen capture.

The Unity MCP template is an example project that demonstrates the interaction between the TypeScript MCP server and Unity. It supports custom tool development and includes a quick - start guide and a to - do list.

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

MCP (Model Context Protocol) is a standardized protocol used to connect AI models with various data sources and tools, similar to the USB-C interface for AI applications. The project provides a guide for building a custom MCP server and demonstrates how to integrate it with Claude Desktop to achieve context-aware AI interactions.

This project is a remote Model Context Protocol (MCP) server based on Node.js and TypeScript, deployed in Azure Container Apps, used to implement standardized communication between AI models and tools. It provides a quick start guide, supports local development, GitHub Codespaces, and Azure deployment, and includes SSE protocol implementation, SQLite database integration, and tool interaction features.

Guide to setting up the SUSE AI demonstration environment. Deploy Rancher Fleet and the SUSE AI stack through a K3s cluster, and integrate the MCP service and Open-WebUI to achieve Kubernetes interaction functions.

Guide to installing and using the Groq Cloud MCP client, supporting interaction with local and remote MCP servers.