Empowering AI applications to enter the MCP standard era, enabling true collaboration between context, protocols, and models
Discover the three foundational pillars that make MCP the future of AI context management
Establish unified context protocols that enable seamless communication between different AI models and applications, ensuring consistent understanding across platforms.
Enable dynamic collaboration between multiple AI models through standardized interfaces, allowing complex tasks to be distributed across specialized model capabilities.
Deploy scalable MCP servers that manage context, handle protocol communications, and orchestrate AI model interactions with enterprise-grade reliability.
Intelligently search and collect MCP-related resources, generating detailed analysis reports
MCP 是 Anthropic 开发的开放协议，让AI助手能够安全地访问外部数据和工具。它建立了标准化的连接方式，使得Claude等AI可以与各种服务和数据源进行交互。
基础使用只需要会安装软件和阅读文档。如果要开发自定义服务器，建议掌握 Python 或 TypeScript 基础知识。大部分教程都有详细的步骤说明。
大多数 MCP 服务器可以在本地运行，支持 Windows、macOS 和 Linux。Python 服务器需要 Python 3.10+，TypeScript 服务器需要 Node.js 18+。
需要修改 Claude Desktop 的配置文件，添加 MCP 服务器信息。具体路径：Windows 在 %APPDATA%/Claude/，macOS 在 ~/Library/Application Support/Claude/。
MCP 设计了严格的权限控制机制。服务器只能访问明确授权的资源，AI 不能直接执行系统命令。但仍建议不要在生产环境中暴露敏感数据。
首先检查服务器日志和 Claude Desktop 的连接状态。大多数问题都是配置错误或依赖缺失导致的。GitHub Issues 和社区论坛有很多解决方案。
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