No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by confluentinc · MCP Server · ★ 89
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is quickstart-streaming-agents safe to install? View the security audit →
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. Lab2 - Vector Search & RAG Vector search pipeline template with retrieval augmented generation (RAG). Use the included Flink documentation chunks, or bring your own documents for intelligent document retrieval.<img
| Stars | 89 |
| Forks | 48 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.4993446539791/100 |
| Last Updated | 2026-08-21 |
| Created | 2025-08-11 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~14k |
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quickstart-streaming-agents is Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®. It is categorized as a MCP Server with 89 GitHub stars.
quickstart-streaming-agents is primarily written in Python. It covers topics such as agentic-ai, agentic-framework, agents.
You can find installation instructions and usage details in the quickstart-streaming-agents GitHub repository at github.com/confluentinc/quickstart-streaming-agents. The project has 89 stars and 48 forks, indicating an active community.
quickstart-streaming-agents is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to quickstart-streaming-agents on Agent Skills Hub include agent-builder, oreilly-ai-agents, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: