MCP-Chinese-Getting-Started-Guide and model-context-protocol-resources
These are **complements**: the English-language practical guides and server implementations in A pair well with the Chinese-language rapid programming introduction in B to serve different language communities learning MCP development.
About MCP-Chinese-Getting-Started-Guide
liaokongVFX/MCP-Chinese-Getting-Started-Guide
Model Context Protocol(MCP) 编程极速入门
Provides stdio-based tool implementation through FastMCP with decorator-driven function exposure and async/await patterns. Integrates with DeepSeek and other LLMs via OpenAI SDK's function-calling interface, enabling automatic tool discovery and execution through the MCP protocol's standardized resource and tool abstraction layers.
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.
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