Building Modular AI Workflows with Agentic Architecture: MCP + CrewAI Demo

As LLMs scale, monolithic prompts become limiting. This demo introduces a modular, agentic approach using both a custom MCP-style server and CrewAI to orchestrate specialized AI agents.

▶️ In this proof of concept:

A Research Agent surfaces trending AI topics
A Writer Agent crafts summaries from those insights
Version 1 uses a stateless, minimal MCP-style server (built in Python)
Version 2 runs on CrewAI for better orchestration and role alignment
Both versions are built and deployed in Replit for ease of replication

Next steps: exploring n8n to bring agentic workflows into low-code environments and connect AI with traditional automation tools.

🧠 Inspired by real-world teamwork, this architecture delivers:

Modularity
Specialization
Traceability
Scalability

🔗 Originally shared on LinkedIn: www.linkedin.com/posts/aminrasooli_agenticai-crewa…

#AgenticAI #CrewAI #AIArchitecture #MCP #MultiAgentSystems #LangGraph #AIEngineering #Replit #n8n #LLMDev