Agentic AI Course: Stage 21 — Lesson 6: Connect MCP Tools to Google ADK

This lesson teaches how to safely integrate MCP (Model Context Protocol) tools with a Google ADK agent to provide controlled file access capabilities. Rather than exposing the entire filesystem, the approach uses MCP to create sandboxed file operations. The lesson builds on an existing Python ADK project and demonstrates best practices for secure tool integration in agentic AI systems.

Key Points

• •Use MCP (Model Context Protocol) to safely expose file access tools to AI agents without full filesystem permissions
• •Implement sandboxed file operations that restrict agent access to specific directories or file types
• •Integrate MCP tools into Google ADK projects by connecting the protocol layer to agent capabilities
• •Configure tool permissions and boundaries to prevent unintended filesystem modifications
• •Test file access operations within the agent to verify sandboxing works correctly
• •Use MCP servers as intermediaries between agents and filesystem resources
• •Document available file operations and constraints for the agent's context window
• •Implement error handling for file operations that exceed defined permissions

Workflow Diagram

Concepts