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.
Based on the README, here's a technical summary: Includes 12+ production MCP server implementations (filesystem, Git, GitHub, PubMed, Perplexity, Obsidian) alongside TypeScript/Python client templates and multi-SDK support across TypeScript, Python, Kotlin, Java, and C#. The project provides structured guides for building both MCP clients and servers, establishing a standardized transport layer for AI agents to access external tools and data sources. Targets developers building agentic LLM applications requiring modular, extensible capability integration through the open MCP specification.
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.
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