来源:AI寒武纪

MCP 的技术详解

服务器端原语包括:

客户端原语包括:

MCP 的优势与益处

MCP 的应用场景与实例

MCP 与传统 API 及函数调用的比较

模型上下文协议(MCP)在上下文管理方面也展现出相对于传统 API 和函数调用的优势。MCP 旨在提供更强的上下文感知和管理能力,使得 AI 模型能够更好地理解和利用来自不同数据源的信息。而传统的 API 在处理复杂的、多轮的对话上下文时可能存在局限性。函数调用虽然也能够传递一定的上下文信息,但其主要关注点在于触发特定的功能,而非维护长期的、丰富的交互上下文。

总而言之,MCP 的自描述工具、动态适应性以及对持续双向通信的支持,使其在与外部世界交互方面比传统 API 更加灵活和强大,尤其对于需要丰富上下文信息的 AI 系统而言。同时,MCP 的模型无关性以及更全面的集成方法,也使其在互操作性和标准化方面具有超越特定供应商函数调用技术的潜力。

为了更清晰地对比 MCP 与传统 API 和函数调用,下表总结了它们在关键特性上的差异:

MCP 入门与使用指南

对于希望开始使用模型上下文协议(MCP)的用户,Anthropic 提供了一系列工具和文档。在 Anthropic 的 Claude Desktop 应用中设置 MCP 相对简单。用户可以通过编辑 Claude Desktop 应用的配置文件 claude_desktop_config.json 来配置 MCP 服务器 。在这个配置文件中,用户需要指定想要使用的 MCP 服务器的名称、启动该服务器的命令以及任何必要的参数 。一旦 Claude Desktop 应用启动,如果配置正确,用户将在输入框的右下角看到一个锤子图标。点击这个图标可以查看当前配置并可供使用的工具

这是最近火爆全网的Blender MCP,大家可以直观的感受下MCP的威力,现在Claude AI可以直接与Blender对话。 立即将任何提示或2D图像转化为惊艳的3D场景

 7000字详解火爆全网的Claude 模型上下文协议 (MCP)
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7000字详解火爆全网的Claude 模型上下文协议 (MCP)

MCP 的未来发展与对 AI 发展的影响

结论

总而言之,Claude 模型上下文协议(MCP)代表了在 AI 模型与外部世界集成方面的一个重要进步。通过提供一个标准化的框架,MCP 简化了 AI 应用程序的开发,增强了 AI 的上下文感知能力,并提高了数据交互的安全性。它不仅降低了开发成本和复杂性,还有助于构建更具适应性和可扩展性的未来 AI 应用。虽然 MCP 在推广和应用过程中仍面临一些挑战,但其在标准化、互操作性以及促进更自主智能的 AI 代理发展方面的潜力是巨大的。随着 MCP 生态系统的不断成熟和完善,它有望在塑造 AI 技术的未来发展中发挥关键作用。

参考

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4. Model Context Protocol (MCP) in AI | by BavalpreetSinghh | Mar, 2025 - Medium, https://medium.com/@bavalpreetsinghh/model-context-protocol-mcp-in-ai-9858b5ecd9ce
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