1. Conduid
  2. RAG
  3. Quickstart Streaming Agents
MCP server · RAG

Quickstart Streaming Agents

Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®

44Fair

Scored 6 months ago · breakdown

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

From source
git clone https://github.com/confluentinc/quickstart-streaming-agents

This 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.

Ask AI

✦

Ask AI about Quickstart Streaming Agents

Powered by Claude · Grounded in docs

I know everything about Quickstart Streaming Agents. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Streaming Agents on Confluent Cloud Quickstart

Sign up for Confluent Cloud

Build real-time AI agents with Confluent Cloud Streaming Agents. This quickstart includes three hands-on labs:

Prerequisites

Required accounts & credentials:

  • Sign up for Confluent Cloud
  • LLM Provider: AWS Bedrock API keys OR Azure OpenAI keys - or BYOK
  • Lab1 & Lab3: Free Zapier remote MCP server (Setup guide)

Required tools:

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
  1. 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

Sign up for early access to Flink AI features

For early access to exciting new Flink AI features, fill out this form and we'll add you to our early access previews.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Quickstart Streaming Agents

How do I install Quickstart Streaming Agents?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Quickstart Streaming Agents safe to use with an AI agent?

Its trust score is 44 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Quickstart Streaming Agents still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.