adk-python-mcp-client
This project demonstrates the use of ADK as an MCP client to interact with a flight search MCP server, integrating real-time flight data APIs and leveraging Google Gemini for conversational AI.
Added on:
Created by:
Apr 12 2025
This project demonstrates the use of ADK as an MCP client to interact with a flight search MCP server, integrating real-time flight data APIs and leveraging Google Gemini for conversational AI.
Added on:
Created by:
Apr 12 2025
Arjun Prabhulal
Featured
What is adk-python-mcp-client?
The adk-python-mcp-client is a Python-based implementation that showcases ADK's capabilities as an MCP client. It connects to an MCP server to access flight search tools, utilizing Google Gemini as the LLM engine. It manages asynchronous communication, dynamic tool discovery, and structured function calls, enabling intelligent flight search interactions. The system supports session management, resource lifecycle handling, and real-time data fetching from APIs like SerpAPI, designed to build autonomous conversational agents capable of performing complex tasks like flight booking assistance.
Who will use adk-python-mcp-client?
- AI developers
- Conversational AI researchers
- Flight data integrators
- MCP protocol practitioners
How to use the adk-python-mcp-client?
- Step1: Clone the repository
- Step2: Set up a virtual environment and install dependencies
- Step3: Configure environment variables with your API keys
- Step4: Install and run the MCP server
- Step5: Run the client script (client.py)
- Step6: Input flight search queries when prompted
- Step7: Observe the agent's interaction and results
adk-python-mcp-client's Core Features & Benefits
The Core Features
- Connects ADK with MCP server
- Dynamic tool discovery
- Asynchronous event processing
- Stateful session management
- Structured function calling
- Resource lifecycle management
The Benefits
- Enables real-time flight search capabilities
- Provides seamless integration between AI agents and external APIs
- Supports scalable and modular agent design
- Facilitates complex task automation in conversational AI
adk-python-mcp-client's Main Use Cases & Applications
- Building intelligent flight booking assistants
- Real-time data-driven conversational agents
- MCP protocol testing and development
- AI-powered travel planning tools
FAQs of adk-python-mcp-client
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