by iusztinpaul · MCP Server · ★ 436
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Build Your Own Deep Research Agent + Technical Writer Multi-Agent System A hands-on workshop, presented at AI Engineering Conference Europe, building a multi-agent AI system with two MCP servers: a Deep Research Agent and a LinkedIn Writing Workflow. Both connected to a harness like Claude Code or Cursor. 🎬 Full workshop available on YouTube ↓ 📑 Slides here. From our Agentic AI Engineering Full Course Built as a lightweight companion to the Agentic AI Engineering Course, which covers 34 lessons and three end-to-end portfolio projects. This workshop distills the core agentic patterns into a 2-hour hands-on build. What You'll Build Today Deep Research Agent — An MCP server that runs deep research using Gemini wi
| Stars | 436 |
| Forks | 121 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.5/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-03 |
| Created | 2026-03-27 |
| Platforms | mcp, python |
| Est. Tokens | ~4244k |
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designing-real-world-ai-agents-workshop is Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video. It is categorized as a MCP Server with 436 GitHub stars.
designing-real-world-ai-agents-workshop is primarily written in Python. It covers topics such as ai-agent, ai-skills, ai-workflow.
You can find installation instructions and usage details in the designing-real-world-ai-agents-workshop GitHub repository at github.com/iusztinpaul/designing-real-world-ai-agents-workshop. The project has 436 stars and 121 forks, indicating an active community.
designing-real-world-ai-agents-workshop is released under the MIT license, making it free to use and modify according to the license terms.
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