cymbal-air-toolbox-demo MCP Server
GoogleCloudPlatform/cymbal-air-toolbox-demo
[](https://agentrank-ai.com/tool/GoogleCloudPlatform--cymbal-air-toolbox-demo/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
GoogleCloudPlatform/cymbal-air-toolbox-demo is a Python tool licensed under Apache-2.0. Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox. Topics: agent, agents, ai, alloydb, bigquery, databases, genai, google-cloud-ai, langgraph, llm, mcp, mcp-tools, postgresql, pythonai, rag, spanner, toolbox, vertex-ai.
Ranked #13948 out of 24846 indexed tools.
Has 18 contributors.
Ecosystem
Score Breakdown
349 stars → growing community
Last commit 2mo ago → moderate activity
19/72 issues closed → many open issues
18 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# > [!NOTE] > This project is for demonstration only and is not an officially supported > Google product. > > If you're a Googler using this demo, please fill up this > [form](https://forms.gle/dJUdMEbUu7k3TmT4A). If you're interested in using our > hosted version, please fill up this > [form](https://forms.gle/3AknwhhWv2pWw46Q8). ## Introduction This project provides a production-quality reference implementation for building Agentic applications that use [Agents] and [Retrieval Augmented Generation (RAG)][rag] to query and interact with data stored in Google Cloud Databases. This demonstration features Cymbal Air, a fictional airline. The application showcases a customer service assistant that helps travelers manage flights and find information about San Francisco International Airport (SFO), Cymbal Air's hub. The agent can answer questions like: * *Are there any luxury shops in the terminal?* * *Where can I get coffee near gate A6?* * *I need to find a gift for my colleague.* *Read full README on GitHub →
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