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.
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-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.
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