No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by decodingai-magazine · MCP Server · ★ 272
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Designing Enterprise MCP Systems Build, orchestrate, and scale intelligent workflows with the Model Context Protocol Open-source project by Decoding AI 📖 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
| Stars | 272 |
| Forks | 59 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.2705586003802/100 |
| Last Updated | 2026-04-06 |
| Created | 2025-07-05 |
| Platforms | mcp, python |
| Est. Tokens | ~251k |
These tools work well together with enterprise-mcp-course for enhanced workflows:
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enterprise-mcp-course is Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.. It is categorized as a MCP Server with 272 GitHub stars.
enterprise-mcp-course is primarily written in Python. It covers topics such as ai-agents, ai-engineering, enterprise.
You can find installation instructions and usage details in the enterprise-mcp-course GitHub repository at github.com/decodingai-magazine/enterprise-mcp-course. The project has 272 stars and 59 forks, indicating an active community.
enterprise-mcp-course is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to enterprise-mcp-course on Agent Skills Hub include corpusos, agent-kernel, cheatengine-mcp-bridge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.