MCP Architect is a Model Context Protocol (MCP) server designed to provide comprehensive architectural expertise through specialized agents, resources, and tools. It supports various architectural domains such as Software Architecture, Cloud Architecture, AI Architecture, Microservices, Event-Driven Architecture, and more.
MCP Architect is used to streamline the process of generating, evaluating, modifying, and analyzing architectural designs across multiple domains. It offers rich resources like design templates, best practices, pattern catalogs, and case studies, along with powerful tools for architectural tasks.
Architects, developers, and engineering teams working on complex systems in domains like cloud computing, microservices, AI, blockchain, and multi-cloud environments can benefit from MCP Architect's specialized agents and resources.
MCP Architect can be deployed locally or in cloud environments, depending on the user's needs. Its flexible structure allows integration into various development workflows and architectures.
MCP Architect should be used during the planning, design, evaluation, and modification phases of system architecture development. It is particularly useful when working on large-scale, complex systems that require adherence to best practices and advanced architectural patterns.
To get started, install the dependencies using `npm install`, copy the environment file with `cp .env.example .env`, and add your OpenAI API key to the `.env` file. The project structure includes directories for agents, resources, tools, prompts, and the MCP server implementation.
MCP Architect provides a suite of specialized architect agents covering various domains, rich resources including design templates and best practices, and tools for generating, evaluating, modifying, and analyzing architectural designs.
Yes, MCP Architect is licensed under the ISC License, making it open-source. Contributions are welcome, and users can refer to the Contributing Guide for details.
Users should report any security vulnerabilities they encounter. Ensure sensitive information like API keys is properly secured and not exposed in public repositories.
MCP Server refers to the core implementation of the Model Context Protocol, while MCP Architect is a specialized instance of an MCP server tailored to provide architectural expertise and tools for various domains.
MCP（Model Context Protocol，模型上下文協議）是一個開放協議，旨在標準化應用程式如何為大型語言模型（LLM）提供上下文資訊。類似於 AI 應用的「USB-C 端口」，MCP 確保 AI 模型能與各種資料來源和工具無縫連接。
MCP Server 是支援 MCP 協議的伺服器，能以標準化方式在應用程式與 AI 模型之間交換上下文資訊。它為開發者提供了一個便捷的方式，將 AI 模型與資料庫、API 或其他資料來源整合。
MCP Server 通過統一管理 AI 模型與多種資料來源的連接，消除了開發自訂適配器的複雜性。無論是開發者、資料科學家還是 AI 應用建置者，MCP Server 都能簡化整合流程，節省時間與資源。
MCP Server 作為中間橋樑，將來自各種資料來源的上下文資訊轉換為 AI 模型能理解的格式。通過遵循 MCP 協議，它確保資料在應用程式與 AI 模型之間以標準化方式傳輸。
在 mcpserver.shop 上，您可以瀏覽我們的 MCP Server 目錄。目錄按行業（如金融、醫療、教育）分類，每款伺服器皆附有詳細說明與標籤，幫助您快速找到符合需求的選項。
mcpserver.shop 上的 MCP Server 目錄可免費瀏覽。但部分伺服器由第三方提供商託管，可能涉及使用費用。請查看各伺服器的詳細頁面以了解具體資訊。
MCP Server 支援多種資料來源，包括資料庫、API、雲端服務及自訂工具。MCP 協議的靈活性使其能將幾乎任何類型的資料來源連接到 AI 模型。
MCP Server 主要面向開發者、資料科學家與 AI 應用建置者。然而，mcpserver.shop 提供了詳細的文件與指南，幫助不同技術水平的用戶輕鬆上手。
是的，MCP 是一個開源協議，鼓勵社群參與與合作。如需了解更多細節或參與貢獻，請造訪 MCP 官方文件。
在 mcpserver.shop 上，每款 MCP Server 的詳細頁面皆包含提供商的聯絡資訊或連結。您可直接聯繫提供商以獲取更多詳情或技術支援。