
decodingai-magazine/enterprise-mcp-course 是从 https://github.com/decodingai-magazine/enterprise-mcp-course. 导入的 MCP 服务器候选
概览
decodingai-magazine/enterprise-mcp-course 是从 https://github.com/decodingai-magazine/enterprise-mcp-course. 导入的 MCP 服务器候选
概述(AI 翻译)
企业级MCP系统设计 利用模型上下文协议构建、编排并扩展智能工作流程 Decoding AI 的开源项目
📖 关于本系列
企业MCP系列是一个开源项目,旨在帮助你构建模块化的生产级AI自动化系统,使用模型上下文协议(MCP)。
在本系列中,我们将重点为企业项目构建一个拉取请求审查器,展示如何集成多个工具并将其编排成可扩展、适生产的MCP架构。
🎯 为什么选这个系列?
与简单的教程不同,这个系列关注现实世界的企业用例——比如拉取请求审核助手,分析GitHub的PR,提取Github和Asana的上下文,并在Slack上向你的团队发布可操作的洞察。
它展示了如何:
- **在内部系统内自动化AI工作流程
- 构建可扩展基础设施——设计支持多条自动化流程的工作流程,随时准备与组织共同成长
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
📖 About This Series
The Enterprise MCP Series is an open-source initiative designed to help you build modular, production-grade AI automation systems using the Model Context Protocol (MCP).
In this series, we focus on building a Pull Request Reviewer for an enterprise project, showcasing how to integrate multiple tools and orchestrate them into a scalable, production-ready MCP architecture.
🎯 Why This Series?
Unlike simple tutorials, this series tackles real-world, enterprise use cases—like a Pull Request Reviewer Assistant that analyzes GitHub PRs, pulls context from Github and Asana, and posts actionable insights to your team on Slack.
It shows how to:
- Automate AI workflows within your internal systems
- Build scalable infrastructure – design workflows that support multiple automation pipelines, ready to grow with your organization
- Evaluate MCP for enterprise migration – understand if migrating your codebase to an MCP-based architecture is worth it
🛠 What You Will Learn
You will learn how to:
- Build custom MCP Servers for Slack and Asana to expose enterprise tools and resources
- Connect to external MCP servers (e.g., GitHub Remote MCP) and integrate them seamlessly
- Centralize tools and prompts into an internal Tool Registry (a global MCP server)
- Create a custom MCP Host to orchestrate workflows (no reliance on Claude Desktop)
- Design and scale company-wide automation workflows, starting with the PR Reviewer use case
With these skills, you’ll become a pro 🥷 at building enterprise-ready AI automation systems using MCP, designing your own scalable hosts, integrating internal tools, and orchestrating intelligent workflows across your company.
👥 Who Should Join?
| Target Audience | Why Join? |
|---|---|
| ML/AI Engineers | Learn to orchestrate multiple AI tools, agents, and resources across your organization |
| Software Engineers | Build scalable, maintainable, and secure automation workflows |
| DevOps & MLOps Engineers | Apply best practices in software engineering, MLOps, and prompt engineering to production AI systems |
🎓 Prerequisites
| Category | Requirements |
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →