by eugeneyan · MCP Server · ★ 313
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News Agents A little experiment with Amazon Q, Model Context Protocol (MCP), and tmux to create a news aggregation system that runs entirely in your terminal. It fetches and summarizes articles from various news sources using multiple agents working in parallel. Also read the write-up here, and click the image below for 3-minute demo on YouTube. What's This All About? This project is me playing around with: Amazon Q CLI as agent harness MCP to parse RSS feeds as tools tmux for terminal splitting and monitoring The system grabs news from several sources like Hacker News, TechCrunch, and WSJ, then summarizes everything into nice readable digests, all in your terminal window. Getting Started Setting Up Amazon Q Follow the official guide to install Amazon Q CLI Set up your AWS credentials Make sure it's working: Clone repo and run it bash git clone https://github.com/eugeneyan/news-agents.git cd news-agents uv sync # Sync dependencies uv tree # Check httpx and mcp[cli] are installed q chat --trust-all-tools # Start Q /context add --global context/agents.md # Add system context for multi-agents Q, read context/main-agent.md and spin up sub agents to e
| Stars | 313 |
| Forks | 35 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.9080507243013/100 |
| Last Updated | 2025-07-19 |
| Created | 2025-05-04 |
| Platforms | mcp, python |
| Est. Tokens | ~4k |
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news-agents is 📰 Building News Agents to Summarize News with MCP, Q, and tmux. It is categorized as a MCP Server with 313 GitHub stars.
news-agents is primarily written in Python. It covers topics such as agent, amazon-q, mcp.
You can find installation instructions and usage details in the news-agents GitHub repository at github.com/eugeneyan/news-agents. The project has 313 stars and 35 forks, indicating an active community.
news-agents is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to news-agents on Agent Skills Hub include paperdebugger, claude-code-mcp, agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.