videointermediate
Multi-Agent AI Finance Assistant: Currency + News Agents with Google ADK, MCP & A2A
By Shreyas Prabhakaryoutube
View original on youtubeThis project demonstrates a multi-agent AI finance assistant combining currency conversion and financial news capabilities using Google ADK, MCP (Model Context Protocol), and Agent-to-Agent (A2A) communication. The system orchestrates multiple specialized agents that work together to provide comprehensive financial information. The architecture showcases modern AI agent patterns for building scalable, modular financial applications.
Key Points
- •Multi-agent architecture separates concerns: Currency Conversion Agent handles exchange rates while Financial News Agent manages market news
- •Google ADK (Agent Development Kit) provides the foundation for building and managing AI agents
- •MCP (Model Context Protocol) enables standardized communication between agents and external tools/APIs
- •Agent-to-Agent (A2A) communication allows agents to collaborate and share information seamlessly
- •Currency agent integrates real-time exchange rate APIs for accurate conversion data
- •News agent aggregates financial news from multiple sources for market insights
- •Orchestration layer coordinates agent interactions and manages request routing
- •Modular design allows easy addition of new specialized agents (e.g., stock analysis, portfolio management)
- •Tool integration through MCP enables agents to access external APIs and data sources
- •System demonstrates scalability for enterprise financial applications
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Workflow Diagram
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