by confluentinc · MCP Server · ★ 83
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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 | 83 |
| Forks | 48 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 48.066/100 |
| Last Updated | 2026-06-08 |
| Created | 2025-08-11 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~1322k |
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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 83 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 83 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.
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