model-context-protocol-resources and mcp-tutorial-complete-guide
These are complements: the first provides practical implementations and real-world examples of MCP servers and clients, while the second offers a structured, comprehensive tutorial for building production-ready MCP integrations from first principles.
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-tutorial-complete-guide
CarlosIbCu/mcp-tutorial-complete-guide
Comprehensive guide for building AI tools using Model Context Protocol (MCP). Learn to develop, secure, and deploy production-ready AI integrations.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work