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Building AI Agents with Model Context Protocol (MCP) and Oracle Database 23ai

About This Workshop

Youtube Video

About This Workshop
The field of AI Agentics has reached a critical inflection point. While AI agents show immense potential in reasoning and executing multi-step tasks, their true power lies in decentralized coordination. This workshop introduces a groundbreaking approach: using the MCP (Model Context Protocol) as the foundation for building self-orchestrating AI agents that combine LangChain's flexibility with Oracle Database 23ai.

Participants will gain hands-on experience creating MCP-native AI agents capable of:
- Secure, decentralized task routing across distributed nodes
- Intelligent multi-agent collaboration using LangChain
- Enterprise-grade automation with Oracle Database 23ai's AI Vector Search and RAG
- Seamless integration with external tools (APIs, emails, PDFs)

Workshop Highlights:
1. MCP as the Backbone of Agentic AI
- Understand why decentralization enables fault tolerance and scalability
- Learn how MCP transforms agent orchestration compared to traditional approaches
2. Building MCP-Aware Agents with LangChain
- Design agents that intelligently delegate tasks across MCP's network
- Develop custom tools for MCP-enabled workflows
3. Oracle Database 23ai as the Knowledge Hub
- Implement RAG pipelines with Oracle's AI Vector Search
- Enable agents to work with both transactional and vector data
4. Hands-On Labs:
- Configure an MCP node for agent computation
- Create a LangChain agent with MCP-based task delegation
- Connect to Oracle Database 23ai for hybrid (SQL + Vector) agent memory

Who Should Attend:
- AI engineers exploring decentralized architectures
- Data professionals scaling RAG systems
- Developers building autonomous AI solutions

Key Takeaways:
- A working blueprint for MCP-powered AI agents
- Techniques for creating auditable agent workflows

Workshop Info

1 hour
  • Lab 1 : Configure an MCP node for agent computation
  • Lab 2: Create a LangChain agent with MCP-based task delegation
  • Lab 3: Connect to Oracle 23ai for hybrid (SQL + Vector) agent memory
  • Lab 4: Deploy a complete multi-agent workflow
  • Complete the foundational AI Agentic Lab: Building AI Agents with LangChain and Oracle Database 23ai
  • Familiarity with Oracle Database 23ai. AI Vector Search, RAG, Python, MCP protocol
  • Familiarity with databases is desirable, but not required

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