quickstart-streaming-agents: Build, deploy, and orchestrate event-driven agents natively on Apache Flink and Apache Kafka

by confluentinc · MCP Server · ★ 91

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install quickstart-streaming-agents

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

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-aiagentic-frameworkagentsaiazure-aibedrockclaudeembeddingsflinkinference

Quick Facts

Stars91
Forks50
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score65/100
Open Issues2
Last Updated2026-10-28
Created2025-08-11
Platformsclaude-code, mcp, python
Est. Tokens~14k

About quickstart-streaming-agents

Streaming Agents on Confluent Cloud Quickstart Build real-time AI agents with Confluent Cloud Streaming Agents. This quickstart includes three hands-on labs: Lab Description Lab1 - Price Matching Orders With MCP Tool Calling NEW! Now using new Agent Definition (CREATE AGENT) syntax. Price matching agent that scrapes competitor websites and adjusts prices in real-time.

Compatible Skills

These tools work well together with quickstart-streaming-agents for enhanced workflows:

  • Agentic-AI-Systems — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • superagentx — semantic(0.28)+rare_topics+same_lang+similar_pop+shared_platform (49%)
  • octotools — semantic(0.18)+complementary+rare_topics+same_lang+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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