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cymbal-air-toolbox-demo MCP Server

GoogleCloudPlatform/cymbal-air-toolbox-demo

Score: 53.2 Rank #13948 Database
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Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.

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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

Python Apache-2.0
agentagentsaialloydbbigquerydatabasesgenaigoogle-cloud-ailanggraphllmmcpmcp-toolspostgresqlpythonairagspannertoolboxvertex-ai

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 349

349 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 26%

19/72 issues closed → many open issues

Contributors 10% 18

18 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 122
Description Good
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 89 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 53 open vs 19 closed issues — triaging stale issues improves health

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AgentRank score for GoogleCloudPlatform/cymbal-air-toolbox-demo
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Matched Queries

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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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