model-context-protocol-resources and MCP-Chinese-Getting-Started-Guide
One project offers a getting-started guide for programming with the Model Context Protocol (MCP), while the other provides practical resources like client/server examples built during the learning process, making them complements for different stages of engaging with the MCP ecosystem.
About model-context-protocol-resources
cyanheads/model-context-protocol-resources
Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.
This project provides guides and examples for developers to understand and implement the Model Context Protocol (MCP). It helps you integrate AI applications (like large language models) with external data sources and tools. You'll learn to connect your AI with databases, APIs, and local systems to expand its capabilities. This resource is for software developers building or integrating AI agents and applications.
About MCP-Chinese-Getting-Started-Guide
liaokongVFX/MCP-Chinese-Getting-Started-Guide
Model Context Protocol(MCP) 编程极速入门
This project provides a rapid guide for developers to integrate Large Language Models (LLMs) with external data sources and tools using the Model Context Protocol (MCP). It shows how to build an MCP server, specifically focusing on creating a web search tool, and then how to connect and interact with this server from an LLM client. Developers who want to extend LLM capabilities beyond their core training data to include real-time information or specialized functions would use this.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work