patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
modelcontextprotocol/quickstart-resources
The project "modelcontextprotocol/quickstart-resources" is a repository that provides servers and clients related to the Model Context Protocol (MCP) tutorials. It serves as a practical resource for developers and learners who want to understand and implement MCP through hands-on examples. The repository includes code and resources from two main tutorials: the Quickstart tutorial, which demonstrates a simple MCP weather server, and the Building MCP clients tutorial, which showcases an LLM-powered chatbot MCP client. These resources help users quickly get started with MCP by providing ready-to-use server and client implementations that illustrate how MCP works in real-world scenarios. The Quickstart tutorial focuses on creating a basic weather server that uses MCP to deliver weather data, making it an accessible entry point for those new to the protocol. The Building MCP clients tutorial expands on this by demonstrating how to build clients that interact with MCP servers, specifically highlighting the use of large language models (LLMs) to power chatbot clients. This combination of server and client examples offers a comprehensive introduction to MCP, covering both the server-side and client-side aspects of the protocol. Overall, the repository is designed to facilitate learning and experimentation with MCP, enabling developers to explore the protocol's capabilities and integrate it into their own applications. It is a valuable resource for anyone interested in MCP, providing clear, practical examples that complement the official tutorials and documentation.
https://github.com/modelcontextprotocol/quickstart-resources
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