About Quickstart Streaming Agents
Quickstart Streaming Agents is an MCP server in the RAG category: build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®.
Install
git clone https://github.com/confluentinc/quickstart-streaming-agentsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
Streaming Agents on Confluent Cloud Quickstart
Build real-time AI agents with Confluent Cloud Streaming Agents. This quickstart includes three hands-on labs:
Prerequisites
Required accounts & credentials:
- LLM Provider: AWS Bedrock API keys OR Azure OpenAI keys - or BYOK
- Lab1 & Lab3: Free Zapier remote MCP server (Setup guide)
Required tools:
- Confluent CLI - must be logged in
- Docker - for Lab1 & Lab3 data generation only
- Git
- Terraform
- uv
- AWS CLI or Azure CLI tools for generating API keys
brew install uv git python && brew tap hashicorp/tap && brew install hashicorp/tap/terraform && brew install --cask confluent-cli docker-desktop && brew install awscli # or azure-cli
Windows:
winget install astral-sh.uv Git.Git Docker.DockerDesktop Hashicorp.Terraform ConfluentInc.Confluent-CLI Python.Python
🚀 Quick Start
1. Clone the repository and navigate to the Quickstart directory:
git clone https://github.com/confluentinc/quickstart-streaming-agents.git
cd quickstart-streaming-agents
2. Auto-generate AWS Bedrock or Azure OpenAI keys:
# Creates API-KEYS-[AWS|AZURE].md and auto-populates them in next step
uv run api-keys create
- One command deployment:
uv run deploy
That's it! The script will autofill generated credentials and guide you through setup and deployment of your chosen lab(s).
[!NOTE]
See the Workshop Mode Setup Guide for details about auto-generating API keys and tips for running demo workshops.
Directory Structure
quickstart-streaming-agents/
├── terraform/
│ ├── core/ # Shared Confluent Cloud infra for all labs
│ ├── lab1-tool-calling/ # Lab1-specific infra
│ ├── lab2-vector-search/ # Lab2-specific infra
│ └── lab3-agentic-fleet-management/ # Lab3-specific infra
│ └── lab4-pubsec-fraud-agents # Lab4-specific infra
├── deploy.py # Start here with uv run deploy
└── scripts/ # Python utilities invoked with uv
Cleanup
# Automated
uv run destroy
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